index.md

IPFS Kit Documentation

Status: ✅ Production Ready - Comprehensive documentation for production deployment
Quick Reference: See MCP Development Status for current implementation status
Getting Started: Use python start_3_node_cluster.py for immediate deployment

Welcome to the IPFS Kit documentation. This guide provides comprehensive information about IPFS Kit, a production-ready Python toolkit for distributed storage with advanced MCP server integration.

Overview

IPFS Kit is a comprehensive, production-ready toolkit providing:

• Production MCP Server: Multi-backend storage with real-time communication
• 3-Node Cluster Architecture: Validated distributed deployment (Master:8998, Worker1:8999, Worker2:9000)
• Multi-Backend Integration: IPFS, Filecoin, S3, Storacha, HuggingFace, Lassie (6 backends operational)
• Advanced Features: WebSocket/WebRTC streaming, search integration, performance monitoring
• Enterprise Ready: Role-based access, health monitoring, comprehensive API documentation

🚀 Quick Start

Production Deployment

# Clone and start 3-node cluster
git clone https://github.com/endomorphosis/ipfs_kit_py.git
cd ipfs_kit_py
python start_3_node_cluster.py

# Verify cluster health
curl http://localhost:8998/health

Development Environment

# Enhanced development server
python servers/enhanced_mcp_server_with_full_config.py

# API documentation
# Visit http://localhost:PORT/docs

📚 Documentation Sections

Essential Guides

• MCP Development Status - Primary reference for current implementation
• Production Readiness Report - Deployment validation and operational readiness
• Getting Started Guide - Quick setup and deployment instructions
• Installation Guide - Comprehensive installation and setup
• Project Structure - File organization and navigation guide

Architecture & Implementation

• Architecture Overview - System design and component interaction
• API Reference - Complete REST API documentation
• Core Concepts - Fundamental principles and implementation
• Storage Backends - Multi-backend integration details
• MCP Roadmap - Detailed technical development roadmap

Operations & Development

• Testing Guide - Comprehensive testing infrastructure and validation
• Server Selection Guide - Production vs. development server guidance
• Deployment Guide - Production cluster deployment instructions
• Performance Monitoring - Metrics, monitoring, and optimization

Advanced Features

• Authentication Extension - Security and access control (planned Q3 2025)
• AI/ML Integration - Machine learning and dataset management
• Streaming Guide - WebSocket and WebRTC real-time communication
• Migration Guide - Data routing and backend migration
• Knowledge Graph - IPLD-based knowledge representation
• libp2p Integration - Direct peer-to-peer communication
• Cluster State - Distributed state management
• Metadata Replication - Fault-tolerant metadata backup

Reference Materials

• Changelog - Version history and feature updates
• Contributing Guide - Development workflow and contribution guidelines
• Release Notes - Detailed release information and breaking changes
• PyPI Release Guide - Publishing to PyPI
• Containerization and Deployment - Docker and Kubernetes deployment
• CI/CD Pipeline - Continuous integration and deployment

🏗️ Current Implementation Status

✅ Production Ready Components

• 3-Node Cluster: Master/Worker architecture operational
• Multi-Backend Storage: 6 storage systems integrated
• MCP Server: Comprehensive RESTful API with WebSocket/WebRTC
• Search Integration: Full-text and vector search operational
• Performance Monitoring: Prometheus metrics and health endpoints

🔄 Active Development

• Enhanced Authentication: Role-based access control (Q3 2025)
• AI/ML Integration: Model registry and training orchestration (Q4 2025)
• Enterprise Features: High availability and security enhancements (Q1 2026)

📋 Planned Enhancements

• Edge Computing: Mesh networking and IoT integration
• Decentralized Governance: Community-driven storage policies
• Quantum Resistance: Post-quantum cryptography implementation

🛠️ Development Workflow

1. Start Development: Use servers/enhanced_mcp_server_with_full_config.py
2. Test Implementation: Run python tests/test_all_mcp_tools.py
3. Validate Structure: Use python tools/verify_enhanced_organization.py
4. Production Deploy: Use python start_3_node_cluster.py

🚀 Getting Started (Production)

To get started with the production-ready IPFS Kit:

# Clone and deploy 3-node cluster
git clone https://github.com/endomorphosis/ipfs_kit_py.git
cd ipfs_kit_py
python start_3_node_cluster.py

# Verify cluster health
curl http://localhost:8998/health  # Master
curl http://localhost:8999/health  # Worker 1
curl http://localhost:9000/health  # Worker 2

# Access API documentation
# Visit http://localhost:8998/docs

For development and testing:

# Enhanced development server
python servers/enhanced_mcp_server_with_full_config.py

# Or lightweight testing
python servers/streamlined_mcp_server.py

📞 Support & Resources

• Primary Documentation: MCP Development Status
• API Documentation: Available at /docs endpoint on any running server
• Issue Tracking: GitHub issues with detailed reproduction steps
• Development Chat: Reference documentation and roadmap for guidance

---

For the most current implementation status, deployment instructions, and development guidance, always refer to the MCP Development Status Document as the authoritative source.