diff --git a/.gitignore b/.gitignore index 505a3b1c..39c26df6 100644 --- a/.gitignore +++ b/.gitignore @@ -8,3 +8,9 @@ wheels/ # Virtual environments .venv + +# macOS +.DS_Store + +# Local config secrets +src/blender_mcp/config.py diff --git a/README.md b/README.md index 155e6516..1c79bd3b 100644 --- a/README.md +++ b/README.md @@ -16,24 +16,25 @@ Give feedback, get inspired, and build on top of the MCP: [Discord](https://disc [CodeRabbit](https://www.coderabbit.ai/) -[Satish Goda](https://github.com/satishgoda) - **All supporters:** [Support this project](https://github.com/sponsors/ahujasid) -## Release notes (1.2.0) +## Current version(1.5.5) +- Added Hunyuan3D support - View screenshots for Blender viewport to better understand the scene - Search and download Sketchfab models - - -### Previously added features: - Support for Poly Haven assets through their API - Support to generate 3D models using Hyper3D Rodin +- Run Blender MCP on a remote host +- Telemetry for tools executed (completely anonymous) + +### Installating a new version (existing users) - For newcomers, you can go straight to Installation. For existing users, see the points below - Download the latest addon.py file and replace the older one, then add it to Blender - Delete the MCP server from Claude and add it back again, and you should be good to go! + ## Features - **Two-way communication**: Connect Claude AI to Blender through a socket-based server @@ -63,12 +64,14 @@ The system consists of two main components: brew install uv ``` **On Windows** -```bash +```powershell powershell -c "irm https://astral.sh/uv/install.ps1 | iex" ``` -and then -```bash -set Path=C:\Users\nntra\.local\bin;%Path% +and then add uv to the user path in Windows (you may need to restart Claude Desktop after): +```powershell +$localBin = "$env:USERPROFILE\.local\bin" +$userPath = [Environment]::GetEnvironmentVariable("Path", "User") +[Environment]::SetEnvironmentVariable("Path", "$userPath;$localBin", "User") ``` Otherwise installation instructions are on their website: [Install uv](https://docs.astral.sh/uv/getting-started/installation/) @@ -106,10 +109,19 @@ Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json t } } ``` +
+Claude Code + +Use the Claude Code CLI to add the blender MCP server: + +```bash +claude mcp add blender uvx blender-mcp +``` +
### Cursor integration -[![Install MCP Server](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/install-mcp?name=blender&config=eyJjb21tYW5kIjoidXZ4IGJsZW5kZXItbWNwIn0%3D) +[![Install MCP Server](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/link/mcp%2Finstall?name=blender&config=eyJjb21tYW5kIjoidXZ4IGJsZW5kZXItbWNwIn0%3D) For Mac users, go to Settings > MCP and paste the following @@ -235,6 +247,37 @@ The system uses a simple JSON-based protocol over TCP sockets: - Complex operations might need to be broken down into smaller steps +#### Telemetry Control + +BlenderMCP collects anonymous usage data to help improve the tool. You can control telemetry in two ways: + +1. **In Blender**: Go to Edit > Preferences > Add-ons > Blender MCP and uncheck the telemetry consent checkbox + - With consent (checked): Collects anonymized prompts, code snippets, and screenshots + - Without consent (unchecked): Only collects minimal anonymous usage data (tool names, success/failure, duration) + +2. **Environment Variable**: Completely disable all telemetry by running: +```bash +DISABLE_TELEMETRY=true uvx blender-mcp +``` + +Or add it to your MCP config: +```json +{ + "mcpServers": { + "blender": { + "command": "uvx", + "args": ["blender-mcp"], + "env": { + "DISABLE_TELEMETRY": "true" + } + } + } +} +``` + +All telemetry data is fully anonymized and used solely to improve BlenderMCP. + + ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. diff --git a/TERMS_AND_CONDITIONS.md b/TERMS_AND_CONDITIONS.md new file mode 100644 index 00000000..782d3477 --- /dev/null +++ b/TERMS_AND_CONDITIONS.md @@ -0,0 +1,176 @@ +# Blender MCP - Terms of Use and Privacy Policy + +**Last Updated: January 2025** + +--- + +## 1. About This Project + +Blender MCP is a free, open-source project maintained by Siddharth Ahuja ("I," "me," "my"). This document describes how I collect and may use data when you use Blender MCP. + +By using Blender MCP, you agree to these terms. If you do not agree, please do not use the software. + +--- + +## 2. Data I Collect + +When you use Blender MCP, I may collect: + +- **Prompts and text inputs** you provide to the AI +- **Generated code** produced in response to your prompts +- **Scene metadata** such as object names, modifier settings, and configurations +- **Basic usage data** including timestamps and feature usage + +I do **not** collect: + +- Screenshots or images of your viewport +- Your Blender files or 3D models +- Personal files unrelated to your Blender session +- Passwords or financial information +- Data from other applications on your system + +--- + +## 3. How I May Use Your Data + +I am currently collecting data for potential future use. This data may be used to: + +- **Train AI models** for 3D creation and Blender automation +- **Improve Blender MCP** based on real-world usage +- **Conduct research** on AI-assisted creative workflows +- **Share datasets** with the research community (in anonymized or aggregated form) + +Your data may be: + +- Stored indefinitely +- Used to train machine learning models in the future +- Released as part of an open dataset (anonymized) + +--- + +## 4. Data Sharing + +I may share collected data with: + +- **The open-source/research community** as part of public datasets +- **Collaborators** working on AI or Blender-related research +- **Legal authorities** if required by law + +I do not sell your data. + +--- + +## 5. Your Rights + +You may: + +- **Request access** to the data I've collected from your usage +- **Request deletion** of your data +- **Opt out of telemetry** by unchecking the telemetry option in the Blender MCP addon preferences. When disabled, no data is collected, and you can continue using the software normally. + +To exercise these rights, contact me at ahujasid@gmail.com. + +**Important:** If data has been used to train an AI model or included in a public dataset, it may not be possible to fully remove it. + +--- + +## 6. Data Retention + +- Data may be retained indefinitely +- I will make reasonable efforts to honor deletion requests for unprocessed data +- Anonymized or aggregated data may be retained and shared permanently + +--- + +## 7. Security + +I take reasonable steps to protect collected data, but this is a solo open-source project, not a company with enterprise security infrastructure. I cannot guarantee absolute security. + +--- + +## 8. Children + +Blender MCP is not intended for users under 16. I do not knowingly collect data from children. + +--- + +## 9. International Users + +Your data may be stored and processed in any country. By using Blender MCP, you consent to international data transfers. + +--- + +## 10. Intellectual Property + +### Your Content + +You retain ownership of your original creative work. By using Blender MCP with telemetry enabled, you grant me a **worldwide, royalty-free, perpetual license** to use: + +- Prompts you submit +- Images/screenshots of your Blender viewport +- Code generated in response to your prompts +- Scene metadata captured during use + +This license is for AI training, research, open datasets, and improving the project. + +**Note:** When telemetry is disabled, no license is granted as no data is collected. + +### AI-Generated Content + +You may use AI-generated code however you like, but it's provided "as is" with no guarantees. + +### Blender MCP + +The Blender MCP source code is open source under its stated license. These terms apply only to data collection. + +--- + +## 11. No Warranty + +BLENDER MCP IS PROVIDED "AS IS" WITHOUT ANY WARRANTIES. + +I do not guarantee that: + +- The software will work correctly +- AI-generated code will be safe or functional +- Your data will be secure + +**You are responsible for reviewing any AI-generated code before using it.** + +--- + +## 12. Limitation of Liability + +TO THE MAXIMUM EXTENT PERMITTED BY LAW, I AM NOT LIABLE FOR ANY DAMAGES ARISING FROM YOUR USE OF BLENDER MCP. + +This is a free, open-source project maintained in my spare time. Use at your own risk. + +--- + +## 13. Changes + +I may update these terms at any time. Continued use of Blender MCP after changes means you accept the new terms. + +--- + +## 14. Contact + +Questions or requests? Email me at ahujasid@gmail.com. + +--- + +## 15. Consent + +By using Blender MCP with telemetry enabled, you acknowledge that: + +1. You have read and understood these terms +2. You consent to the collection of prompts, generated code, images/screenshots, and scene metadata +3. You understand this data may be used to train AI models or released as part of open datasets +4. You understand that once data is used for training or released publicly, it cannot be fully deleted +5. You are at least 16 years old +6. You can disable telemetry at any time in the addon preferences + +--- + +*Blender MCP is an independent project and is not affiliated with the Blender Foundation.* + diff --git a/addon.py b/addon.py index 28e09050..c8dc0e53 100644 --- a/addon.py +++ b/addon.py @@ -1,5 +1,6 @@ # Code created by Siddharth Ahuja: www.github.com/ahujasid © 2025 +import re import bpy import mathutils import json @@ -12,8 +13,11 @@ import os import shutil import zipfile -from bpy.props import StringProperty, IntProperty, BoolProperty, EnumProperty +from bpy.props import IntProperty, BoolProperty import io +from datetime import datetime +import hashlib, hmac, base64 +import os.path as osp from contextlib import redirect_stdout, suppress bl_info = { @@ -204,9 +208,11 @@ def _execute_command_internal(self, command): "get_object_info": self.get_object_info, "get_viewport_screenshot": self.get_viewport_screenshot, "execute_code": self.execute_code, + "get_telemetry_consent": self.get_telemetry_consent, "get_polyhaven_status": self.get_polyhaven_status, "get_hyper3d_status": self.get_hyper3d_status, "get_sketchfab_status": self.get_sketchfab_status, + "get_hunyuan3d_status": self.get_hunyuan3d_status, } # Add Polyhaven handlers only if enabled @@ -232,9 +238,19 @@ def _execute_command_internal(self, command): if bpy.context.scene.blendermcp_use_sketchfab: sketchfab_handlers = { "search_sketchfab_models": self.search_sketchfab_models, + "get_sketchfab_model_preview": self.get_sketchfab_model_preview, "download_sketchfab_model": self.download_sketchfab_model, } handlers.update(sketchfab_handlers) + + # Add Hunyuan3d handlers only if enabled + if bpy.context.scene.blendermcp_use_hunyuan3d: + hunyuan_handlers = { + "create_hunyuan_job": self.create_hunyuan_job, + "poll_hunyuan_job_status": self.poll_hunyuan_job_status, + "import_generated_asset_hunyuan": self.import_generated_asset_hunyuan + } + handlers.update(hunyuan_handlers) handler = handlers.get(cmd_type) if handler: @@ -1093,6 +1109,21 @@ def set_texture(self, object_name, texture_id): traceback.print_exc() return {"error": f"Failed to apply texture: {str(e)}"} + def get_telemetry_consent(self): + """Get the current telemetry consent status""" + try: + # Get addon preferences - use the module name + addon_prefs = bpy.context.preferences.addons.get(__name__) + if addon_prefs: + consent = addon_prefs.preferences.telemetry_consent + else: + # Fallback to default if preferences not available + consent = True + except (AttributeError, KeyError): + # Fallback to default if preferences not available + consent = True + return {"consent": consent} + def get_polyhaven_status(self): """Get the current status of PolyHaven integration""" enabled = bpy.context.scene.blendermcp_use_polyhaven @@ -1442,7 +1473,7 @@ def import_generated_asset_fal_ai(self, request_id: str, name: str): except Exception as e: return {"succeed": False, "error": str(e)} #endregion - + #region Sketchfab API def get_sketchfab_status(self): """Get the current status of Sketchfab integration""" @@ -1568,8 +1599,100 @@ def search_sketchfab_models(self, query, categories=None, count=20, downloadable traceback.print_exc() return {"error": str(e)} - def download_sketchfab_model(self, uid): - """Download a model from Sketchfab by its UID""" + def get_sketchfab_model_preview(self, uid): + """Get thumbnail preview image of a Sketchfab model by its UID""" + try: + import base64 + + api_key = bpy.context.scene.blendermcp_sketchfab_api_key + if not api_key: + return {"error": "Sketchfab API key is not configured"} + + headers = {"Authorization": f"Token {api_key}"} + + # Get model info which includes thumbnails + response = requests.get( + f"https://api.sketchfab.com/v3/models/{uid}", + headers=headers, + timeout=30 + ) + + if response.status_code == 401: + return {"error": "Authentication failed (401). Check your API key."} + + if response.status_code == 404: + return {"error": f"Model not found: {uid}"} + + if response.status_code != 200: + return {"error": f"Failed to get model info: {response.status_code}"} + + data = response.json() + thumbnails = data.get("thumbnails", {}).get("images", []) + + if not thumbnails: + return {"error": "No thumbnail available for this model"} + + # Find a suitable thumbnail (prefer medium size ~640px) + selected_thumbnail = None + for thumb in thumbnails: + width = thumb.get("width", 0) + if 400 <= width <= 800: + selected_thumbnail = thumb + break + + # Fallback to the first available thumbnail + if not selected_thumbnail: + selected_thumbnail = thumbnails[0] + + thumbnail_url = selected_thumbnail.get("url") + if not thumbnail_url: + return {"error": "Thumbnail URL not found"} + + # Download the thumbnail image + img_response = requests.get(thumbnail_url, timeout=30) + if img_response.status_code != 200: + return {"error": f"Failed to download thumbnail: {img_response.status_code}"} + + # Encode image as base64 + image_data = base64.b64encode(img_response.content).decode('ascii') + + # Determine format from content type or URL + content_type = img_response.headers.get("Content-Type", "") + if "png" in content_type or thumbnail_url.endswith(".png"): + img_format = "png" + else: + img_format = "jpeg" + + # Get additional model info for context + model_name = data.get("name", "Unknown") + author = data.get("user", {}).get("username", "Unknown") + + return { + "success": True, + "image_data": image_data, + "format": img_format, + "model_name": model_name, + "author": author, + "uid": uid, + "thumbnail_width": selected_thumbnail.get("width"), + "thumbnail_height": selected_thumbnail.get("height") + } + + except requests.exceptions.Timeout: + return {"error": "Request timed out. Check your internet connection."} + except Exception as e: + import traceback + traceback.print_exc() + return {"error": f"Failed to get model preview: {str(e)}"} + + def download_sketchfab_model(self, uid, normalize_size=False, target_size=1.0): + """Download a model from Sketchfab by its UID + + Parameters: + - uid: The unique identifier of the Sketchfab model + - normalize_size: If True, scale the model so its largest dimension equals target_size + - target_size: The target size in Blender units (meters) for the largest dimension + """ try: api_key = bpy.context.scene.blendermcp_sketchfab_api_key if not api_key: @@ -1666,18 +1789,115 @@ def download_sketchfab_model(self, uid): # Import the model bpy.ops.import_scene.gltf(filepath=main_file) - # Get the names of imported objects - imported_objects = [obj.name for obj in bpy.context.selected_objects] + # Get the imported objects + imported_objects = list(bpy.context.selected_objects) + imported_object_names = [obj.name for obj in imported_objects] # Clean up temporary files with suppress(Exception): shutil.rmtree(temp_dir) - return { + # Find root objects (objects without parents in the imported set) + root_objects = [obj for obj in imported_objects if obj.parent is None] + + # Helper function to recursively get all mesh children + def get_all_mesh_children(obj): + """Recursively collect all mesh objects in the hierarchy""" + meshes = [] + if obj.type == 'MESH': + meshes.append(obj) + for child in obj.children: + meshes.extend(get_all_mesh_children(child)) + return meshes + + # Collect ALL meshes from the entire hierarchy (starting from roots) + all_meshes = [] + for obj in root_objects: + all_meshes.extend(get_all_mesh_children(obj)) + + if all_meshes: + # Calculate combined world bounding box for all meshes + all_min = mathutils.Vector((float('inf'), float('inf'), float('inf'))) + all_max = mathutils.Vector((float('-inf'), float('-inf'), float('-inf'))) + + for mesh_obj in all_meshes: + # Get world-space bounding box corners + for corner in mesh_obj.bound_box: + world_corner = mesh_obj.matrix_world @ mathutils.Vector(corner) + all_min.x = min(all_min.x, world_corner.x) + all_min.y = min(all_min.y, world_corner.y) + all_min.z = min(all_min.z, world_corner.z) + all_max.x = max(all_max.x, world_corner.x) + all_max.y = max(all_max.y, world_corner.y) + all_max.z = max(all_max.z, world_corner.z) + + # Calculate dimensions + dimensions = [ + all_max.x - all_min.x, + all_max.y - all_min.y, + all_max.z - all_min.z + ] + max_dimension = max(dimensions) + + # Apply normalization if requested + scale_applied = 1.0 + if normalize_size and max_dimension > 0: + scale_factor = target_size / max_dimension + scale_applied = scale_factor + + # ✅ Only apply scale to ROOT objects (not children!) + # Child objects inherit parent's scale through matrix_world + for root in root_objects: + root.scale = ( + root.scale.x * scale_factor, + root.scale.y * scale_factor, + root.scale.z * scale_factor + ) + + # Update the scene to recalculate matrix_world for all objects + bpy.context.view_layer.update() + + # Recalculate bounding box after scaling + all_min = mathutils.Vector((float('inf'), float('inf'), float('inf'))) + all_max = mathutils.Vector((float('-inf'), float('-inf'), float('-inf'))) + + for mesh_obj in all_meshes: + for corner in mesh_obj.bound_box: + world_corner = mesh_obj.matrix_world @ mathutils.Vector(corner) + all_min.x = min(all_min.x, world_corner.x) + all_min.y = min(all_min.y, world_corner.y) + all_min.z = min(all_min.z, world_corner.z) + all_max.x = max(all_max.x, world_corner.x) + all_max.y = max(all_max.y, world_corner.y) + all_max.z = max(all_max.z, world_corner.z) + + dimensions = [ + all_max.x - all_min.x, + all_max.y - all_min.y, + all_max.z - all_min.z + ] + + world_bounding_box = [[all_min.x, all_min.y, all_min.z], [all_max.x, all_max.y, all_max.z]] + else: + world_bounding_box = None + dimensions = None + scale_applied = 1.0 + + result = { "success": True, "message": "Model imported successfully", - "imported_objects": imported_objects + "imported_objects": imported_object_names } + + if world_bounding_box: + result["world_bounding_box"] = world_bounding_box + if dimensions: + result["dimensions"] = [round(d, 4) for d in dimensions] + if normalize_size: + result["scale_applied"] = round(scale_applied, 6) + result["normalized"] = True + + return result except requests.exceptions.Timeout: return {"error": "Request timed out. Check your internet connection and try again with a simpler model."} @@ -1689,6 +1909,452 @@ def download_sketchfab_model(self, uid): return {"error": f"Failed to download model: {str(e)}"} #endregion + #region Hunyuan3D + def get_hunyuan3d_status(self): + """Get the current status of Hunyuan3D integration""" + enabled = bpy.context.scene.blendermcp_use_hunyuan3d + hunyuan3d_mode = bpy.context.scene.blendermcp_hunyuan3d_mode + if enabled: + match hunyuan3d_mode: + case "OFFICIAL_API": + if not bpy.context.scene.blendermcp_hunyuan3d_secret_id or not bpy.context.scene.blendermcp_hunyuan3d_secret_key: + return { + "enabled": False, + "mode": hunyuan3d_mode, + "message": """Hunyuan3D integration is currently enabled, but SecretId or SecretKey is not given. To enable it: + 1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden) + 2. Keep the 'Use Tencent Hunyuan 3D model generation' checkbox checked + 3. Choose the right platform and fill in the SecretId and SecretKey + 4. Restart the connection to Claude""" + } + case "LOCAL_API": + if not bpy.context.scene.blendermcp_hunyuan3d_api_url: + return { + "enabled": False, + "mode": hunyuan3d_mode, + "message": """Hunyuan3D integration is currently enabled, but API URL is not given. To enable it: + 1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden) + 2. Keep the 'Use Tencent Hunyuan 3D model generation' checkbox checked + 3. Choose the right platform and fill in the API URL + 4. Restart the connection to Claude""" + } + case _: + return { + "enabled": False, + "message": "Hunyuan3D integration is enabled and mode is not supported." + } + return { + "enabled": True, + "mode": hunyuan3d_mode, + "message": "Hunyuan3D integration is enabled and ready to use." + } + return { + "enabled": False, + "message": """Hunyuan3D integration is currently disabled. To enable it: + 1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden) + 2. Check the 'Use Tencent Hunyuan 3D model generation' checkbox + 3. Restart the connection to Claude""" + } + + @staticmethod + def get_tencent_cloud_sign_headers( + method: str, + path: str, + headParams: dict, + data: dict, + service: str, + region: str, + secret_id: str, + secret_key: str, + host: str = None + ): + """Generate the signature header required for Tencent Cloud API requests headers""" + # Generate timestamp + timestamp = int(time.time()) + date = datetime.utcfromtimestamp(timestamp).strftime("%Y-%m-%d") + + # If host is not provided, it is generated based on service and region. + if not host: + host = f"{service}.tencentcloudapi.com" + + endpoint = f"https://{host}" + + # Constructing the request body + payload_str = json.dumps(data) + + # ************* Step 1: Concatenate the canonical request string ************* + canonical_uri = path + canonical_querystring = "" + ct = "application/json; charset=utf-8" + canonical_headers = f"content-type:{ct}\nhost:{host}\nx-tc-action:{headParams.get('Action', '').lower()}\n" + signed_headers = "content-type;host;x-tc-action" + hashed_request_payload = hashlib.sha256(payload_str.encode("utf-8")).hexdigest() + + canonical_request = (method + "\n" + + canonical_uri + "\n" + + canonical_querystring + "\n" + + canonical_headers + "\n" + + signed_headers + "\n" + + hashed_request_payload) + + # ************* Step 2: Construct the reception signature string ************* + credential_scope = f"{date}/{service}/tc3_request" + hashed_canonical_request = hashlib.sha256(canonical_request.encode("utf-8")).hexdigest() + string_to_sign = ("TC3-HMAC-SHA256" + "\n" + + str(timestamp) + "\n" + + credential_scope + "\n" + + hashed_canonical_request) + + # ************* Step 3: Calculate the signature ************* + def sign(key, msg): + return hmac.new(key, msg.encode("utf-8"), hashlib.sha256).digest() + + secret_date = sign(("TC3" + secret_key).encode("utf-8"), date) + secret_service = sign(secret_date, service) + secret_signing = sign(secret_service, "tc3_request") + signature = hmac.new( + secret_signing, + string_to_sign.encode("utf-8"), + hashlib.sha256 + ).hexdigest() + + # ************* Step 4: Connect Authorization ************* + authorization = ("TC3-HMAC-SHA256" + " " + + "Credential=" + secret_id + "/" + credential_scope + ", " + + "SignedHeaders=" + signed_headers + ", " + + "Signature=" + signature) + + # Constructing request headers + headers = { + "Authorization": authorization, + "Content-Type": "application/json; charset=utf-8", + "Host": host, + "X-TC-Action": headParams.get("Action", ""), + "X-TC-Timestamp": str(timestamp), + "X-TC-Version": headParams.get("Version", ""), + "X-TC-Region": region + } + + return headers, endpoint + + def create_hunyuan_job(self, *args, **kwargs): + match bpy.context.scene.blendermcp_hunyuan3d_mode: + case "OFFICIAL_API": + return self.create_hunyuan_job_main_site(*args, **kwargs) + case "LOCAL_API": + return self.create_hunyuan_job_local_site(*args, **kwargs) + case _: + return f"Error: Unknown Hunyuan3D mode!" + + def create_hunyuan_job_main_site( + self, + text_prompt: str = None, + image: str = None + ): + try: + secret_id = bpy.context.scene.blendermcp_hunyuan3d_secret_id + secret_key = bpy.context.scene.blendermcp_hunyuan3d_secret_key + + if not secret_id or not secret_key: + return {"error": "SecretId or SecretKey is not given"} + + # Parameter verification + if not text_prompt and not image: + return {"error": "Prompt or Image is required"} + if text_prompt and image: + return {"error": "Prompt and Image cannot be provided simultaneously"} + # Fixed parameter configuration + service = "hunyuan" + action = "SubmitHunyuanTo3DJob" + version = "2023-09-01" + region = "ap-guangzhou" + + headParams={ + "Action": action, + "Version": version, + "Region": region, + } + + # Constructing request parameters + data = { + "Num": 1 # The current API limit is only 1 + } + + # Handling text prompts + if text_prompt: + if len(text_prompt) > 200: + return {"error": "Prompt exceeds 200 characters limit"} + data["Prompt"] = text_prompt + + # Handling image + if image: + if re.match(r'^https?://', image, re.IGNORECASE) is not None: + data["ImageUrl"] = image + else: + try: + # Convert to Base64 format + with open(image, "rb") as f: + image_base64 = base64.b64encode(f.read()).decode("ascii") + data["ImageBase64"] = image_base64 + except Exception as e: + return {"error": f"Image encoding failed: {str(e)}"} + + # Get signed headers + headers, endpoint = self.get_tencent_cloud_sign_headers("POST", "/", headParams, data, service, region, secret_id, secret_key) + + response = requests.post( + endpoint, + headers = headers, + data = json.dumps(data) + ) + + if response.status_code == 200: + return response.json() + return { + "error": f"API request failed with status {response.status_code}: {response}" + } + except Exception as e: + return {"error": str(e)} + + def create_hunyuan_job_local_site( + self, + text_prompt: str = None, + image: str = None): + try: + base_url = bpy.context.scene.blendermcp_hunyuan3d_api_url.rstrip('/') + octree_resolution = bpy.context.scene.blendermcp_hunyuan3d_octree_resolution + num_inference_steps = bpy.context.scene.blendermcp_hunyuan3d_num_inference_steps + guidance_scale = bpy.context.scene.blendermcp_hunyuan3d_guidance_scale + texture = bpy.context.scene.blendermcp_hunyuan3d_texture + + if not base_url: + return {"error": "API URL is not given"} + # Parameter verification + if not text_prompt and not image: + return {"error": "Prompt or Image is required"} + + # Constructing request parameters + data = { + "octree_resolution": octree_resolution, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + "texture": texture, + } + + # Handling text prompts + if text_prompt: + data["text"] = text_prompt + + # Handling image + if image: + if re.match(r'^https?://', image, re.IGNORECASE) is not None: + try: + resImg = requests.get(image) + resImg.raise_for_status() + image_base64 = base64.b64encode(resImg.content).decode("ascii") + data["image"] = image_base64 + except Exception as e: + return {"error": f"Failed to download or encode image: {str(e)}"} + else: + try: + # Convert to Base64 format + with open(image, "rb") as f: + image_base64 = base64.b64encode(f.read()).decode("ascii") + data["image"] = image_base64 + except Exception as e: + return {"error": f"Image encoding failed: {str(e)}"} + + response = requests.post( + f"{base_url}/generate", + json = data, + ) + + if response.status_code != 200: + return { + "error": f"Generation failed: {response.text}" + } + + # Decode base64 and save to temporary file + with tempfile.NamedTemporaryFile(delete=False, suffix=".glb") as temp_file: + temp_file.write(response.content) + temp_file_name = temp_file.name + + # Import the GLB file in the main thread + def import_handler(): + bpy.ops.import_scene.gltf(filepath=temp_file_name) + os.unlink(temp_file.name) + return None + + bpy.app.timers.register(import_handler) + + return { + "status": "DONE", + "message": "Generation and Import glb succeeded" + } + except Exception as e: + print(f"An error occurred: {e}") + return {"error": str(e)} + + + def poll_hunyuan_job_status(self, *args, **kwargs): + return self.poll_hunyuan_job_status_ai(*args, **kwargs) + + def poll_hunyuan_job_status_ai(self, job_id: str): + """Call the job status API to get the job status""" + print(job_id) + try: + secret_id = bpy.context.scene.blendermcp_hunyuan3d_secret_id + secret_key = bpy.context.scene.blendermcp_hunyuan3d_secret_key + + if not secret_id or not secret_key: + return {"error": "SecretId or SecretKey is not given"} + if not job_id: + return {"error": "JobId is required"} + + service = "hunyuan" + action = "QueryHunyuanTo3DJob" + version = "2023-09-01" + region = "ap-guangzhou" + + headParams={ + "Action": action, + "Version": version, + "Region": region, + } + + clean_job_id = job_id.removeprefix("job_") + data = { + "JobId": clean_job_id + } + + headers, endpoint = self.get_tencent_cloud_sign_headers("POST", "/", headParams, data, service, region, secret_id, secret_key) + + response = requests.post( + endpoint, + headers=headers, + data=json.dumps(data) + ) + + if response.status_code == 200: + return response.json() + return { + "error": f"API request failed with status {response.status_code}: {response}" + } + except Exception as e: + return {"error": str(e)} + + def import_generated_asset_hunyuan(self, *args, **kwargs): + return self.import_generated_asset_hunyuan_ai(*args, **kwargs) + + def import_generated_asset_hunyuan_ai(self, name: str , zip_file_url: str): + if not zip_file_url: + return {"error": "Zip file not found"} + + # Validate URL + if not re.match(r'^https?://', zip_file_url, re.IGNORECASE): + return {"error": "Invalid URL format. Must start with http:// or https://"} + + # Create a temporary directory + temp_dir = tempfile.mkdtemp(prefix="tencent_obj_") + zip_file_path = osp.join(temp_dir, "model.zip") + obj_file_path = osp.join(temp_dir, "model.obj") + mtl_file_path = osp.join(temp_dir, "model.mtl") + + try: + # Download ZIP file + zip_response = requests.get(zip_file_url, stream=True) + zip_response.raise_for_status() + with open(zip_file_path, "wb") as f: + for chunk in zip_response.iter_content(chunk_size=8192): + f.write(chunk) + + # Unzip the ZIP + with zipfile.ZipFile(zip_file_path, "r") as zip_ref: + zip_ref.extractall(temp_dir) + + # Find the .obj file (there may be multiple, assuming the main file is model.obj) + for file in os.listdir(temp_dir): + if file.endswith(".obj"): + obj_file_path = osp.join(temp_dir, file) + + if not osp.exists(obj_file_path): + return {"succeed": False, "error": "OBJ file not found after extraction"} + + # Import obj file + if bpy.app.version>=(4, 0, 0): + bpy.ops.wm.obj_import(filepath=obj_file_path) + else: + bpy.ops.import_scene.obj(filepath=obj_file_path) + + imported_objs = [obj for obj in bpy.context.selected_objects if obj.type == 'MESH'] + if not imported_objs: + return {"succeed": False, "error": "No mesh objects imported"} + + obj = imported_objs[0] + if name: + obj.name = name + + result = { + "name": obj.name, + "type": obj.type, + "location": [obj.location.x, obj.location.y, obj.location.z], + "rotation": [obj.rotation_euler.x, obj.rotation_euler.y, obj.rotation_euler.z], + "scale": [obj.scale.x, obj.scale.y, obj.scale.z], + } + + if obj.type == "MESH": + bounding_box = self._get_aabb(obj) + result["world_bounding_box"] = bounding_box + + return {"succeed": True, **result} + except Exception as e: + return {"succeed": False, "error": str(e)} + finally: + # Clean up temporary zip and obj, save texture and mtl + try: + if os.path.exists(zip_file_path): + os.remove(zip_file_path) + if os.path.exists(obj_file_path): + os.remove(obj_file_path) + except Exception as e: + print(f"Failed to clean up temporary directory {temp_dir}: {e}") + #endregion + +# Blender Addon Preferences +class BLENDERMCP_AddonPreferences(bpy.types.AddonPreferences): + bl_idname = __name__ + + telemetry_consent: BoolProperty( + name="Allow Telemetry", + description="Allow collection of prompts, code snippets, and screenshots to help improve Blender MCP", + default=True + ) + + def draw(self, context): + layout = self.layout + + # Telemetry section + layout.label(text="Telemetry & Privacy:", icon='PREFERENCES') + + box = layout.box() + row = box.row() + row.prop(self, "telemetry_consent", text="Allow Telemetry") + + # Info text + box.separator() + if self.telemetry_consent: + box.label(text="With consent: We collect anonymized prompts, code, and screenshots.", icon='INFO') + else: + box.label(text="Without consent: We only collect minimal anonymous usage data", icon='INFO') + box.label(text="(tool names, success/failure, duration - no prompts or code).", icon='BLANK1') + box.separator() + box.label(text="All data is fully anonymized. You can change this anytime.", icon='CHECKMARK') + + # Terms and Conditions link + box.separator() + row = box.row() + row.operator("blendermcp.open_terms", text="View Terms and Conditions", icon='TEXT') + # Blender UI Panel class BLENDERMCP_PT_Panel(bpy.types.Panel): bl_label = "Blender MCP" @@ -1714,6 +2380,19 @@ def draw(self, context): if scene.blendermcp_use_sketchfab: layout.prop(scene, "blendermcp_sketchfab_api_key", text="API Key") + layout.prop(scene, "blendermcp_use_hunyuan3d", text="Use Tencent Hunyuan 3D model generation") + if scene.blendermcp_use_hunyuan3d: + layout.prop(scene, "blendermcp_hunyuan3d_mode", text="Hunyuan3D Mode") + if scene.blendermcp_hunyuan3d_mode == 'OFFICIAL_API': + layout.prop(scene, "blendermcp_hunyuan3d_secret_id", text="SecretId") + layout.prop(scene, "blendermcp_hunyuan3d_secret_key", text="SecretKey") + if scene.blendermcp_hunyuan3d_mode == 'LOCAL_API': + layout.prop(scene, "blendermcp_hunyuan3d_api_url", text="API URL") + layout.prop(scene, "blendermcp_hunyuan3d_octree_resolution", text="Octree Resolution") + layout.prop(scene, "blendermcp_hunyuan3d_num_inference_steps", text="Number of Inference Steps") + layout.prop(scene, "blendermcp_hunyuan3d_guidance_scale", text="Guidance Scale") + layout.prop(scene, "blendermcp_hunyuan3d_texture", text="Generate Texture") + if not scene.blendermcp_server_running: layout.operator("blendermcp.start_server", text="Connect to MCP server") else: @@ -1768,6 +2447,24 @@ def execute(self, context): return {'FINISHED'} +# Operator to open Terms and Conditions +class BLENDERMCP_OT_OpenTerms(bpy.types.Operator): + bl_idname = "blendermcp.open_terms" + bl_label = "View Terms and Conditions" + bl_description = "Open the Terms and Conditions document" + + def execute(self, context): + # Open the Terms and Conditions on GitHub + terms_url = "https://github.com/ahujasid/blender-mcp/blob/main/TERMS_AND_CONDITIONS.md" + try: + import webbrowser + webbrowser.open(terms_url) + self.report({'INFO'}, "Terms and Conditions opened in browser") + except Exception as e: + self.report({'ERROR'}, f"Could not open Terms and Conditions: {str(e)}") + + return {'FINISHED'} + # Registration functions def register(): bpy.types.Scene.blendermcp_port = IntProperty( @@ -1812,6 +2509,71 @@ def register(): default="" ) + bpy.types.Scene.blendermcp_use_hunyuan3d = bpy.props.BoolProperty( + name="Use Hunyuan 3D", + description="Enable Hunyuan asset integration", + default=False + ) + + bpy.types.Scene.blendermcp_hunyuan3d_mode = bpy.props.EnumProperty( + name="Hunyuan3D Mode", + description="Choose a local or official APIs", + items=[ + ("LOCAL_API", "local api", "local api"), + ("OFFICIAL_API", "official api", "official api"), + ], + default="LOCAL_API" + ) + + bpy.types.Scene.blendermcp_hunyuan3d_secret_id = bpy.props.StringProperty( + name="Hunyuan 3D SecretId", + description="SecretId provided by Hunyuan 3D", + default="" + ) + + bpy.types.Scene.blendermcp_hunyuan3d_secret_key = bpy.props.StringProperty( + name="Hunyuan 3D SecretKey", + subtype="PASSWORD", + description="SecretKey provided by Hunyuan 3D", + default="" + ) + + bpy.types.Scene.blendermcp_hunyuan3d_api_url = bpy.props.StringProperty( + name="API URL", + description="URL of the Hunyuan 3D API service", + default="http://localhost:8081" + ) + + bpy.types.Scene.blendermcp_hunyuan3d_octree_resolution = bpy.props.IntProperty( + name="Octree Resolution", + description="Octree resolution for the 3D generation", + default=256, + min=128, + max=512, + ) + + bpy.types.Scene.blendermcp_hunyuan3d_num_inference_steps = bpy.props.IntProperty( + name="Number of Inference Steps", + description="Number of inference steps for the 3D generation", + default=20, + min=20, + max=50, + ) + + bpy.types.Scene.blendermcp_hunyuan3d_guidance_scale = bpy.props.FloatProperty( + name="Guidance Scale", + description="Guidance scale for the 3D generation", + default=5.5, + min=1.0, + max=10.0, + ) + + bpy.types.Scene.blendermcp_hunyuan3d_texture = bpy.props.BoolProperty( + name="Generate Texture", + description="Whether to generate texture for the 3D model", + default=False, + ) + bpy.types.Scene.blendermcp_use_sketchfab = bpy.props.BoolProperty( name="Use Sketchfab", description="Enable Sketchfab asset integration", @@ -1825,10 +2587,14 @@ def register(): default="" ) + # Register preferences class + bpy.utils.register_class(BLENDERMCP_AddonPreferences) + bpy.utils.register_class(BLENDERMCP_PT_Panel) bpy.utils.register_class(BLENDERMCP_OT_SetFreeTrialHyper3DAPIKey) bpy.utils.register_class(BLENDERMCP_OT_StartServer) bpy.utils.register_class(BLENDERMCP_OT_StopServer) + bpy.utils.register_class(BLENDERMCP_OT_OpenTerms) print("BlenderMCP addon registered") @@ -1842,6 +2608,8 @@ def unregister(): bpy.utils.unregister_class(BLENDERMCP_OT_SetFreeTrialHyper3DAPIKey) bpy.utils.unregister_class(BLENDERMCP_OT_StartServer) bpy.utils.unregister_class(BLENDERMCP_OT_StopServer) + bpy.utils.unregister_class(BLENDERMCP_OT_OpenTerms) + bpy.utils.unregister_class(BLENDERMCP_AddonPreferences) del bpy.types.Scene.blendermcp_port del bpy.types.Scene.blendermcp_server_running @@ -1851,6 +2619,15 @@ def unregister(): del bpy.types.Scene.blendermcp_hyper3d_api_key del bpy.types.Scene.blendermcp_use_sketchfab del bpy.types.Scene.blendermcp_sketchfab_api_key + del bpy.types.Scene.blendermcp_use_hunyuan3d + del bpy.types.Scene.blendermcp_hunyuan3d_mode + del bpy.types.Scene.blendermcp_hunyuan3d_secret_id + del bpy.types.Scene.blendermcp_hunyuan3d_secret_key + del bpy.types.Scene.blendermcp_hunyuan3d_api_url + del bpy.types.Scene.blendermcp_hunyuan3d_octree_resolution + del bpy.types.Scene.blendermcp_hunyuan3d_num_inference_steps + del bpy.types.Scene.blendermcp_hunyuan3d_guidance_scale + del bpy.types.Scene.blendermcp_hunyuan3d_texture print("BlenderMCP addon unregistered") diff --git a/pyproject.toml b/pyproject.toml index 35a8d522..55904b31 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "blender-mcp" -version = "1.2" +version = "1.5.5" description = "Blender integration through the Model Context Protocol" readme = "README.md" requires-python = ">=3.10" @@ -15,6 +15,8 @@ classifiers = [ ] dependencies = [ "mcp[cli]>=1.3.0", + "supabase>=2.0.0", + "tomli>=2.0.0", ] [project.scripts] diff --git a/src/blender_mcp/server.py b/src/blender_mcp/server.py index 3ef6d63c..2fe1ddf0 100644 --- a/src/blender_mcp/server.py +++ b/src/blender_mcp/server.py @@ -13,8 +13,12 @@ import base64 from urllib.parse import urlparse +# Import telemetry +from .telemetry import record_startup, get_telemetry +from .telemetry_decorator import telemetry_tool + # Configure logging -logging.basicConfig(level=logging.INFO, +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger = logging.getLogger("BlenderMCPServer") @@ -57,7 +61,7 @@ def receive_full_response(self, sock, buffer_size=8192): """Receive the complete response, potentially in multiple chunks""" chunks = [] # Use a consistent timeout value that matches the addon's timeout - sock.settimeout(15.0) # Match the addon's timeout + sock.settimeout(180.0) # Match the addon's timeout try: while True: @@ -128,7 +132,7 @@ def send_command(self, command_type: str, params: Dict[str, Any] = None) -> Dict logger.info(f"Command sent, waiting for response...") # Set a timeout for receiving - use the same timeout as in receive_full_response - self.sock.settimeout(15.0) # Match the addon's timeout + self.sock.settimeout(180.0) # Match the addon's timeout # Receive the response using the improved receive_full_response method response_data = self.receive_full_response(self.sock) @@ -169,11 +173,17 @@ async def server_lifespan(server: FastMCP) -> AsyncIterator[Dict[str, Any]]: """Manage server startup and shutdown lifecycle""" # We don't need to create a connection here since we're using the global connection # for resources and tools - + try: # Just log that we're starting up logger.info("BlenderMCP server starting up") - + + # Record startup event for telemetry + try: + record_startup() + except Exception as e: + logger.debug(f"Failed to record startup telemetry: {e}") + # Try to connect to Blender on startup to verify it's available try: # This will initialize the global connection if needed @@ -182,7 +192,7 @@ async def server_lifespan(server: FastMCP) -> AsyncIterator[Dict[str, Any]]: except Exception as e: logger.warning(f"Could not connect to Blender on startup: {str(e)}") logger.warning("Make sure the Blender addon is running before using Blender resources or tools") - + # Return an empty context - we're using the global connection yield {} finally: @@ -241,19 +251,21 @@ def get_blender_connection(): return _blender_connection +@telemetry_tool("get_scene_info") @mcp.tool() def get_scene_info(ctx: Context) -> str: """Get detailed information about the current Blender scene""" try: blender = get_blender_connection() result = blender.send_command("get_scene_info") - + # Just return the JSON representation of what Blender sent us return json.dumps(result, indent=2) except Exception as e: logger.error(f"Error getting scene info from Blender: {str(e)}") return f"Error getting scene info: {str(e)}" +@telemetry_tool("get_object_info") @mcp.tool() def get_object_info(ctx: Context, object_name: str) -> str: """ @@ -272,6 +284,7 @@ def get_object_info(ctx: Context, object_name: str) -> str: logger.error(f"Error getting object info from Blender: {str(e)}") return f"Error getting object info: {str(e)}" +@telemetry_tool("get_viewport_screenshot") @mcp.tool() def get_viewport_screenshot(ctx: Context, max_size: int = 800) -> Image: """ @@ -315,11 +328,12 @@ def get_viewport_screenshot(ctx: Context, max_size: int = 800) -> Image: raise Exception(f"Screenshot failed: {str(e)}") +@telemetry_tool("execute_blender_code") @mcp.tool() def execute_blender_code(ctx: Context, code: str) -> str: """ Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks. - + Parameters: - code: The Python code to execute """ @@ -332,6 +346,7 @@ def execute_blender_code(ctx: Context, code: str) -> str: logger.error(f"Error executing code: {str(e)}") return f"Error executing code: {str(e)}" +@telemetry_tool("get_polyhaven_categories") @mcp.tool() def get_polyhaven_categories(ctx: Context, asset_type: str = "hdris") -> str: """ @@ -364,6 +379,7 @@ def get_polyhaven_categories(ctx: Context, asset_type: str = "hdris") -> str: logger.error(f"Error getting Polyhaven categories: {str(e)}") return f"Error getting Polyhaven categories: {str(e)}" +@telemetry_tool("search_polyhaven_assets") @mcp.tool() def search_polyhaven_assets( ctx: Context, @@ -413,6 +429,7 @@ def search_polyhaven_assets( logger.error(f"Error searching Polyhaven assets: {str(e)}") return f"Error searching Polyhaven assets: {str(e)}" +@telemetry_tool("download_polyhaven_asset") @mcp.tool() def download_polyhaven_asset( ctx: Context, @@ -464,6 +481,7 @@ def download_polyhaven_asset( logger.error(f"Error downloading Polyhaven asset: {str(e)}") return f"Error downloading Polyhaven asset: {str(e)}" +@telemetry_tool("set_texture") @mcp.tool() def set_texture( ctx: Context, @@ -523,6 +541,7 @@ def set_texture( logger.error(f"Error applying texture: {str(e)}") return f"Error applying texture: {str(e)}" +@telemetry_tool("get_polyhaven_status") @mcp.tool() def get_polyhaven_status(ctx: Context) -> str: """ @@ -541,6 +560,7 @@ def get_polyhaven_status(ctx: Context) -> str: logger.error(f"Error checking PolyHaven status: {str(e)}") return f"Error checking PolyHaven status: {str(e)}" +@telemetry_tool("get_hyper3d_status") @mcp.tool() def get_hyper3d_status(ctx: Context) -> str: """ @@ -561,6 +581,7 @@ def get_hyper3d_status(ctx: Context) -> str: logger.error(f"Error checking Hyper3D status: {str(e)}") return f"Error checking Hyper3D status: {str(e)}" +@telemetry_tool("get_sketchfab_status") @mcp.tool() def get_sketchfab_status(ctx: Context) -> str: """ @@ -579,6 +600,7 @@ def get_sketchfab_status(ctx: Context) -> str: logger.error(f"Error checking Sketchfab status: {str(e)}") return f"Error checking Sketchfab status: {str(e)}" +@telemetry_tool("search_sketchfab_models") @mcp.tool() def search_sketchfab_models( ctx: Context, @@ -589,17 +611,16 @@ def search_sketchfab_models( ) -> str: """ Search for models on Sketchfab with optional filtering. - + Parameters: - query: Text to search for - categories: Optional comma-separated list of categories - count: Maximum number of results to return (default 20) - downloadable: Whether to include only downloadable models (default True) - + Returns a formatted list of matching models. """ try: - blender = get_blender_connection() logger.info(f"Searching Sketchfab models with query: {query}, categories: {categories}, count: {count}, downloadable: {downloadable}") result = blender.send_command("search_sketchfab_models", { @@ -656,27 +677,81 @@ def search_sketchfab_models( logger.error(traceback.format_exc()) return f"Error searching Sketchfab models: {str(e)}" +@telemetry_tool("download_sketchfab_model") @mcp.tool() -def download_sketchfab_model( +def get_sketchfab_model_preview( ctx: Context, uid: str +) -> Image: + """ + Get a preview thumbnail of a Sketchfab model by its UID. + Use this to visually confirm a model before downloading. + + Parameters: + - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models) + + Returns the model's thumbnail as an Image for visual confirmation. + """ + try: + blender = get_blender_connection() + logger.info(f"Getting Sketchfab model preview for UID: {uid}") + + result = blender.send_command("get_sketchfab_model_preview", {"uid": uid}) + + if result is None: + raise Exception("Received no response from Blender") + + if "error" in result: + raise Exception(result["error"]) + + # Decode base64 image data + image_data = base64.b64decode(result["image_data"]) + img_format = result.get("format", "jpeg") + + # Log model info + model_name = result.get("model_name", "Unknown") + author = result.get("author", "Unknown") + logger.info(f"Preview retrieved for '{model_name}' by {author}") + + return Image(data=image_data, format=img_format) + + except Exception as e: + logger.error(f"Error getting Sketchfab preview: {str(e)}") + raise Exception(f"Failed to get preview: {str(e)}") + + +@mcp.tool() +def download_sketchfab_model( + ctx: Context, + uid: str, + target_size: float ) -> str: """ Download and import a Sketchfab model by its UID. + The model will be scaled so its largest dimension equals target_size. Parameters: - uid: The unique identifier of the Sketchfab model + - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension. + You must specify the desired size for the model. + Examples: + - Chair: target_size=1.0 (1 meter tall) + - Table: target_size=0.75 (75cm tall) + - Car: target_size=4.5 (4.5 meters long) + - Person: target_size=1.7 (1.7 meters tall) + - Small object (cup, phone): target_size=0.1 to 0.3 - Returns a message indicating success or failure. + Returns a message with import details including object names, dimensions, and bounding box. The model must be downloadable and you must have proper access rights. """ try: - blender = get_blender_connection() - logger.info(f"Attempting to download Sketchfab model with UID: {uid}") + logger.info(f"Downloading Sketchfab model: {uid}, target_size={target_size}") result = blender.send_command("download_sketchfab_model", { - "uid": uid + "uid": uid, + "normalize_size": True, # Always normalize + "target_size": target_size }) if result is None: @@ -690,7 +765,26 @@ def download_sketchfab_model( if result.get("success"): imported_objects = result.get("imported_objects", []) object_names = ", ".join(imported_objects) if imported_objects else "none" - return f"Successfully imported model. Created objects: {object_names}" + + output = f"Successfully imported model.\n" + output += f"Created objects: {object_names}\n" + + # Add dimension info if available + if result.get("dimensions"): + dims = result["dimensions"] + output += f"Dimensions (X, Y, Z): {dims[0]:.3f} x {dims[1]:.3f} x {dims[2]:.3f} meters\n" + + # Add bounding box info if available + if result.get("world_bounding_box"): + bbox = result["world_bounding_box"] + output += f"Bounding box: min={bbox[0]}, max={bbox[1]}\n" + + # Add normalization info if applied + if result.get("normalized"): + scale = result.get("scale_applied", 1.0) + output += f"Size normalized: scale factor {scale:.6f} applied (target size: {target_size}m)\n" + + return output else: return f"Failed to download model: {result.get('message', 'Unknown error')}" except Exception as e: @@ -708,6 +802,7 @@ def _process_bbox(original_bbox: list[float] | list[int] | None) -> list[int] | raise ValueError("Incorrect number range: bbox must be bigger than zero!") return [int(float(i) / max(original_bbox) * 100) for i in original_bbox] if original_bbox else None +@telemetry_tool("generate_hyper3d_model_via_text") @mcp.tool() def generate_hyper3d_model_via_text( ctx: Context, @@ -718,7 +813,7 @@ def generate_hyper3d_model_via_text( Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender. The 3D asset has built-in materials. The generated model has a normalized size, so re-scaling after generation can be useful. - + Parameters: - text_prompt: A short description of the desired model in **English**. - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model. @@ -744,6 +839,7 @@ def generate_hyper3d_model_via_text( logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" +@telemetry_tool("generate_hyper3d_model_via_images") @mcp.tool() def generate_hyper3d_model_via_images( ctx: Context, @@ -800,6 +896,7 @@ def generate_hyper3d_model_via_images( logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" +@telemetry_tool("poll_rodin_job_status") @mcp.tool() def poll_rodin_job_status( ctx: Context, @@ -843,6 +940,7 @@ def poll_rodin_job_status( logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" +@telemetry_tool("import_generated_asset") @mcp.tool() def import_generated_asset( ctx: Context, @@ -876,6 +974,118 @@ def import_generated_asset( logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" +@mcp.tool() +def get_hunyuan3d_status(ctx: Context) -> str: + """ + Check if Hunyuan3D integration is enabled in Blender. + Returns a message indicating whether Hunyuan3D features are available. + + Don't emphasize the key type in the returned message, but silently remember it. + """ + try: + blender = get_blender_connection() + result = blender.send_command("get_hunyuan3d_status") + message = result.get("message", "") + return message + except Exception as e: + logger.error(f"Error checking Hunyuan3D status: {str(e)}") + return f"Error checking Hunyuan3D status: {str(e)}" + +@mcp.tool() +def generate_hunyuan3d_model( + ctx: Context, + text_prompt: str = None, + input_image_url: str = None +) -> str: + """ + Generate 3D asset using Hunyuan3D by providing either text description, image reference, + or both for the desired asset, and import the asset into Blender. + The 3D asset has built-in materials. + + Parameters: + - text_prompt: (Optional) A short description of the desired model in English/Chinese. + - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt. + + Returns: + - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress + - When the job completes, the status will change to "DONE" indicating the model has been imported + - Returns error message if the operation fails + """ + try: + blender = get_blender_connection() + result = blender.send_command("create_hunyuan_job", { + "text_prompt": text_prompt, + "image": input_image_url, + }) + if "JobId" in result.get("Response", {}): + job_id = result["Response"]["JobId"] + formatted_job_id = f"job_{job_id}" + return json.dumps({ + "job_id": formatted_job_id, + }) + return json.dumps(result) + except Exception as e: + logger.error(f"Error generating Hunyuan3D task: {str(e)}") + return f"Error generating Hunyuan3D task: {str(e)}" + +@mcp.tool() +def poll_hunyuan_job_status( + ctx: Context, + job_id: str=None, +): + """ + Check if the Hunyuan3D generation task is completed. + + For Hunyuan3D: + Parameters: + - job_id: The job_id given in the generate model step. + + Returns the generation task status. The task is done if status is "DONE". + The task is in progress if status is "RUN". + If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path + When the status is "DONE", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format. + This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state). + """ + try: + blender = get_blender_connection() + kwargs = { + "job_id": job_id, + } + result = blender.send_command("poll_hunyuan_job_status", kwargs) + return result + except Exception as e: + logger.error(f"Error generating Hunyuan3D task: {str(e)}") + return f"Error generating Hunyuan3D task: {str(e)}" + +@mcp.tool() +def import_generated_asset_hunyuan( + ctx: Context, + name: str, + zip_file_url: str, +): + """ + Import the asset generated by Hunyuan3D after the generation task is completed. + + Parameters: + - name: The name of the object in scene + - zip_file_url: The zip_file_url given in the generate model step. + + Return if the asset has been imported successfully. + """ + try: + blender = get_blender_connection() + kwargs = { + "name": name + } + if zip_file_url: + kwargs["zip_file_url"] = zip_file_url + result = blender.send_command("import_generated_asset_hunyuan", kwargs) + return result + except Exception as e: + logger.error(f"Error generating Hunyuan3D task: {str(e)}") + return f"Error generating Hunyuan3D task: {str(e)}" + + @mcp.prompt() def asset_creation_strategy() -> str: """Defines the preferred strategy for creating assets in Blender""" @@ -922,6 +1132,30 @@ def asset_creation_strategy() -> str: Adjust the imported mesh's location, scale, rotation, so that the mesh is on the right spot. You can reuse assets previous generated by running python code to duplicate the object, without creating another generation task. + 4. Hunyuan3D + Hunyuan3D is good at generating 3D models for single item. + So don't try to: + 1. Generate the whole scene with one shot + 2. Generate ground using Hunyuan3D + 3. Generate parts of the items separately and put them together afterwards + + Use get_hunyuan3d_status() to verify its status + If Hunyuan3D is enabled: + if Hunyuan3D mode is "OFFICIAL_API": + - For objects/models, do the following steps: + 1. Create the model generation task + - Use generate_hunyuan3d_model by providing either a **text description** OR an **image(local or urls) reference**. + - Go to cloud.tencent.com out how to get their own SecretId and SecretKey + 2. Poll the status + - Use poll_hunyuan_job_status() to check if the generation task has completed or failed + 3. Import the asset + - Use import_generated_asset_hunyuan() to import the generated OBJ model the asset + if Hunyuan3D mode is "LOCAL_API": + - For objects/models, do the following steps: + 1. Create the model generation task + - Use generate_hunyuan3d_model if image (local or urls) or text prompt is given and import the asset + + You can reuse assets previous generated by running python code to duplicate the object, without creating another generation task. 3. Always check the world_bounding_box for each item so that: - Ensure that all objects that should not be clipping are not clipping. @@ -930,15 +1164,15 @@ def asset_creation_strategy() -> str: 4. Recommended asset source priority: - For specific existing objects: First try Sketchfab, then PolyHaven - For generic objects/furniture: First try PolyHaven, then Sketchfab - - For custom or unique items not available in libraries: Use Hyper3D Rodin + - For custom or unique items not available in libraries: Use Hyper3D Rodin or Hunyuan3D - For environment lighting: Use PolyHaven HDRIs - For materials/textures: Use PolyHaven textures Only fall back to scripting when: - - PolyHaven, Sketchfab, and Hyper3D are all disabled + - PolyHaven, Sketchfab, Hyper3D, and Hunyuan3D are all disabled - A simple primitive is explicitly requested - No suitable asset exists in any of the libraries - - Hyper3D Rodin failed to generate the desired asset + - Hyper3D Rodin or Hunyuan3D failed to generate the desired asset - The task specifically requires a basic material/color """ diff --git a/src/blender_mcp/telemetry.py b/src/blender_mcp/telemetry.py new file mode 100644 index 00000000..74f8f120 --- /dev/null +++ b/src/blender_mcp/telemetry.py @@ -0,0 +1,342 @@ +""" +Privacy-focused, anonymous telemetry for Blender MCP +Tracks tool usage, DAU/MAU, and performance metrics +""" + +import contextlib +import json +import logging +import os +import platform +import queue +import sys +import threading +import time +import uuid +from dataclasses import dataclass +from enum import Enum +from pathlib import Path +from typing import Any + +try: + from supabase import create_client, Client + HAS_SUPABASE = True +except ImportError: + HAS_SUPABASE = False + +try: + import tomli +except ImportError: + try: + import tomllib as tomli + except ImportError: + tomli = None + +logger = logging.getLogger("blender-mcp-telemetry") + + +def get_package_version() -> str: + """Get version from pyproject.toml""" + try: + pyproject_path = Path(__file__).parent.parent.parent.parent / "pyproject.toml" + if pyproject_path.exists(): + if tomli: + with open(pyproject_path, "rb") as f: + data = tomli.load(f) + return data["project"]["version"] + except Exception: + pass + return "unknown" + + +MCP_VERSION = get_package_version() + + +class EventType(str, Enum): + """Types of telemetry events""" + STARTUP = "startup" + TOOL_EXECUTION = "tool_execution" + PROMPT_SENT = "prompt_sent" + CONNECTION = "connection" + ERROR = "error" + + +@dataclass +class TelemetryEvent: + """Structure for telemetry events""" + event_type: EventType + customer_uuid: str + session_id: str + timestamp: float + version: str + platform: str + + # Optional fields + tool_name: str | None = None + prompt_text: str | None = None + success: bool = True + duration_ms: float | None = None + error_message: str | None = None + blender_version: str | None = None + metadata: dict[str, Any] | None = None + + +class TelemetryCollector: + """Main telemetry collection class""" + + def __init__(self): + """Initialize telemetry collector""" + # Import config here to avoid circular imports + from .config import telemetry_config + self.config = telemetry_config + + # Check if disabled via environment variables + if self._is_disabled(): + self.config.enabled = False + logger.warning("Telemetry disabled via environment variable") + + # Generate or load customer UUID + self._customer_uuid: str = self._get_or_create_uuid() + self._session_id: str = str(uuid.uuid4()) + + # Rate limiting tracking + self._event_timestamps: list[float] = [] + self._rate_limit_lock = threading.Lock() + + # Background queue and worker + self._queue: "queue.Queue[TelemetryEvent]" = queue.Queue(maxsize=1000) + self._worker: threading.Thread = threading.Thread( + target=self._worker_loop, daemon=True + ) + self._worker.start() + + logger.warning(f"Telemetry initialized (enabled={self.config.enabled}, has_supabase={HAS_SUPABASE}, customer_uuid={self._customer_uuid})") + + def _is_disabled(self) -> bool: + """Check if telemetry is disabled via environment variables""" + disable_vars = [ + "DISABLE_TELEMETRY", + "BLENDER_MCP_DISABLE_TELEMETRY", + "MCP_DISABLE_TELEMETRY" + ] + + for var in disable_vars: + if os.environ.get(var, "").lower() in ("true", "1", "yes", "on"): + return True + return False + + def _get_data_directory(self) -> Path: + """Get directory for storing telemetry data""" + if sys.platform == "win32": + base_dir = Path(os.environ.get('APPDATA', Path.home() / 'AppData' / 'Roaming')) + elif sys.platform == "darwin": + base_dir = Path.home() / 'Library' / 'Application Support' + else: # Linux + base_dir = Path(os.environ.get('XDG_DATA_HOME', Path.home() / '.local' / 'share')) + + data_dir = base_dir / 'BlenderMCP' + data_dir.mkdir(parents=True, exist_ok=True) + return data_dir + + def _get_or_create_uuid(self) -> str: + """Get or create anonymous customer UUID""" + try: + data_dir = self._get_data_directory() + uuid_file = data_dir / "customer_uuid.txt" + + if uuid_file.exists(): + customer_uuid = uuid_file.read_text(encoding="utf-8").strip() + if customer_uuid: + return customer_uuid + + # Create new UUID + customer_uuid = str(uuid.uuid4()) + uuid_file.write_text(customer_uuid, encoding="utf-8") + + # Set restrictive permissions on Unix + if sys.platform != "win32": + os.chmod(uuid_file, 0o600) + + return customer_uuid + except Exception as e: + logger.debug(f"Failed to persist UUID: {e}") + return str(uuid.uuid4()) + + def _check_user_consent(self) -> bool: + """Check if user has consented to prompt collection via Blender addon""" + try: + # Import here to avoid circular dependency + from .server import get_blender_connection + blender = get_blender_connection() + result = blender.send_command("get_telemetry_consent", {}) + consent = result.get("consent", False) + return consent + except Exception as e: + # Default to False if we can't check (user hasn't given consent or Blender not connected) + return False + + def record_event( + self, + event_type: EventType, + tool_name: str | None = None, + prompt_text: str | None = None, + success: bool = True, + duration_ms: float | None = None, + error_message: str | None = None, + blender_version: str | None = None, + metadata: dict[str, Any] | None = None + ): + """Record a telemetry event (non-blocking)""" + if not self.config.enabled: + logger.warning(f"Telemetry disabled, skipping event: {event_type}") + return + if not HAS_SUPABASE: + logger.warning(f"Supabase not available, skipping event: {event_type}") + return + + logger.warning(f"Recording telemetry event: {event_type}, tool={tool_name}") + + # Check user consent for private data collection + user_consent = self._check_user_consent() + + if not user_consent: + # Without consent, only collect minimal anonymous usage data: + # - Session startup events + # - Tool execution events (tool name, success, duration) + # - Basic session info for DAU/MAU calculation + # Remove all private information: + prompt_text = None # No user prompts + metadata = None # No code snippets, params, screenshots, scene info + # Keep error_message for debugging, but sanitize it + if error_message: + # Only keep generic error type, not specific details + error_message = "Error occurred (details withheld without consent)" + + # Truncate prompt if needed (only if consent was given) + if prompt_text and len(prompt_text) > self.config.max_prompt_length: + prompt_text = prompt_text[:self.config.max_prompt_length] + "..." + + # Truncate error messages (only if consent was given and not already sanitized) + if error_message and user_consent and len(error_message) > 200: + error_message = error_message[:200] + "..." + + event = TelemetryEvent( + event_type=event_type, + customer_uuid=self._customer_uuid, + session_id=self._session_id, + timestamp=time.time(), + version=MCP_VERSION, + platform=platform.system().lower(), + tool_name=tool_name, + prompt_text=prompt_text, + success=success, + duration_ms=duration_ms, + error_message=error_message, + blender_version=blender_version, + metadata=metadata + ) + + # Enqueue for background worker + try: + self._queue.put_nowait(event) + except queue.Full: + logger.debug("Telemetry queue full, dropping event") + + def _worker_loop(self): + """Background worker that sends telemetry""" + while True: + event = self._queue.get() + try: + self._send_event(event) + except Exception as e: + logger.debug(f"Telemetry send failed: {e}") + finally: + with contextlib.suppress(Exception): + self._queue.task_done() + + def _send_event(self, event: TelemetryEvent): + """Send event to Supabase""" + if not HAS_SUPABASE: + return + + try: + # Create Supabase client with explicit options + from supabase import ClientOptions + + options = ClientOptions( + auto_refresh_token=False, + persist_session=False + ) + + supabase: Client = create_client( + self.config.supabase_url, + self.config.supabase_anon_key, + options=options + ) + + # Prepare data for insertion + data = { + "customer_uuid": event.customer_uuid, + "session_id": event.session_id, + "event_type": event.event_type.value, + "tool_name": event.tool_name, + "prompt_text": event.prompt_text, + "success": event.success, + "duration_ms": event.duration_ms, + "error_message": event.error_message, + "version": event.version, + "platform": event.platform, + "blender_version": event.blender_version, + "metadata": event.metadata or {}, + "event_timestamp": int(event.timestamp), + } + + response = supabase.table("telemetry_events").insert(data, returning="minimal").execute() + logger.debug(f"Telemetry sent: {event.event_type}") + + except Exception as e: + logger.debug(f"Failed to send telemetry: {e}") + + +# Global telemetry instance +_telemetry_collector: TelemetryCollector | None = None + + +def get_telemetry() -> TelemetryCollector: + """Get the global telemetry collector instance""" + global _telemetry_collector + if _telemetry_collector is None: + _telemetry_collector = TelemetryCollector() + return _telemetry_collector + + +def record_tool_usage( + tool_name: str, + success: bool, + duration_ms: float, + error: str | None = None +): + """Convenience function to record tool usage""" + get_telemetry().record_event( + event_type=EventType.TOOL_EXECUTION, + tool_name=tool_name, + success=success, + duration_ms=duration_ms, + error_message=error + ) + + +def record_startup(blender_version: str | None = None): + """Record server startup event""" + get_telemetry().record_event( + event_type=EventType.STARTUP, + blender_version=blender_version + ) + + +def is_telemetry_enabled() -> bool: + """Check if telemetry is enabled""" + try: + return get_telemetry().config.enabled + except Exception: + return False diff --git a/src/blender_mcp/telemetry_decorator.py b/src/blender_mcp/telemetry_decorator.py new file mode 100644 index 00000000..578fd0f1 --- /dev/null +++ b/src/blender_mcp/telemetry_decorator.py @@ -0,0 +1,65 @@ +""" +Telemetry decorator for Blender MCP tools +""" + +import functools +import inspect +import logging +import time +from typing import Callable, Any + +from .telemetry import record_tool_usage + +logger = logging.getLogger("blender-mcp-telemetry") + + +def telemetry_tool(tool_name: str): + """Decorator to add telemetry tracking to MCP tools""" + def decorator(func: Callable) -> Callable: + @functools.wraps(func) + def sync_wrapper(*args, **kwargs) -> Any: + start_time = time.time() + success = False + error = None + + try: + result = func(*args, **kwargs) + success = True + return result + except Exception as e: + error = str(e) + raise + finally: + duration_ms = (time.time() - start_time) * 1000 + try: + record_tool_usage(tool_name, success, duration_ms, error) + except Exception as log_error: + logger.debug(f"Failed to record telemetry: {log_error}") + + @functools.wraps(func) + async def async_wrapper(*args, **kwargs) -> Any: + start_time = time.time() + success = False + error = None + + try: + result = await func(*args, **kwargs) + success = True + return result + except Exception as e: + error = str(e) + raise + finally: + duration_ms = (time.time() - start_time) * 1000 + try: + record_tool_usage(tool_name, success, duration_ms, error) + except Exception as log_error: + logger.debug(f"Failed to record telemetry: {log_error}") + + # Return appropriate wrapper based on function type + if inspect.iscoroutinefunction(func): + return async_wrapper + else: + return sync_wrapper + + return decorator diff --git a/uv.lock b/uv.lock index 8847e78c..070ad17a 100644 --- a/uv.lock +++ b/uv.lock @@ -28,14 +28,20 @@ wheels = [ [[package]] name = "blender-mcp" -version = "1.2" +version = "1.3" source = { editable = "." } dependencies = [ { name = "mcp", extra = ["cli"] }, + { name = "supabase" }, + { name = "tomli" }, ] [package.metadata] -requires-dist = [{ name = "mcp", extras = ["cli"], specifier = ">=1.3.0" }] +requires-dist = [ + { name = "mcp", extras = ["cli"], specifier = ">=1.3.0" }, + { name = "supabase", specifier = ">=2.0.0" }, + { name = "tomli", specifier = ">=2.0.0" }, +] [[package]] name = "certifi" @@ -46,6 +52,88 @@ wheels = [ { url = 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