🚀 MCP Resume Server

Welcome to the 🧠 MCP (Machine-Connectable Profile) Resume Server — a lightweight FastAPI-based server that exposes your professional profile in a structured, machine-readable format for Puch AI to read and process.

✅ Designed to work with /mcp connect <url> <token> on Puch.
📦 Built using: Python, FastMCP, pyngrok
🌐 Supports both local and public (ngrok) deployments

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📌 Key Features

• 📄 Serves your resume (base64-encoded) to /mcp endpoint
• 🧑‍💼 Includes your name, headline, summary, LinkedIn, and GitHub links
• ⚙️ Simple config with .env
• 🛰️ ngrok tunnel support for external access

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🛠️ How It Works

The MCP server exposes a single GET endpoint:

📁 Project Structure MCP_Resume/

• ├── main.py # 🚀 FastAPI server
• ├── .env # 🔐 Secrets and settings
• ├── ngrok.yml # 🌐 ngrok config (optional)
• ├── resumes/
• │ └── resume.pdf # 📄 Your actual resume
• └── README.md # 📘 This file

⚙️ How to Run 🔧 Step 1: Clone and Install

git clone https://github.com/shuklaji28/MCP_Resume.git cd MCP_Resume pip install -r requirements.txt # or manually install: fastapi, uvicorn, pyngrok, python-dotenv

🔧 Step 2: Configure .env PUCH_AUTH_TOKEN=your_token NGROK_AUTH_TOKEN=your_ngrok_token NGROK_PATH=C:\Users\your_user\Downloads\ngrok\ngrok.exe RESUME_PATH=resumes/resume.pdf PORT=8085

🔧 Step 3: Start the server python main.py

You’ll see a tunnel URL like:

https://abc123.ngrok.io/ or https://7b3a-103-70-203-245.ngrok-free.app/mcp

📡 Connect to Puch AI Paste the following into https://puch.ai interface:

/mcp connect https://abc123.ngrok.io/mcp your_puch_auth_token

🎉 Boom! You’re now machine-connectable.

💡 Tips

🔒 Never upload .env publicly — it contains your secrets

🌍 You can inspect your /mcp output using: https://mcp.puch.ai/inspector

👨‍💻 Author Shresth Shukla 🔗 LinkedIn 🧠 Passionate about data engineering, AI integrations, and building cool stuff.

📜 License MIT License

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