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MCP Integration Guide ​

Welcome to the complete MCP (Model Context Protocol) integration documentation for Mnemoverse.

🚀 Start Here ​

New to MCP? ​

Need Technical Details? ​

Building Your Own MCP Server? ​

📚 What's Available ​

Working Solutions ​

✅ Federated Documentation Search - Research Library can automatically search Mnemoverse docs
✅ Cross-Service Communication - MCP servers talking to each other
✅ Dual Protocol Support - HTTP REST API + MCP JSON-RPC endpoints
✅ Production Ready - Tested, documented, and deployed

Test Results ​

  • Performance: 0.01-0.09 second response times
  • Reliability: 100% test success rate
  • Scale: 9899+ characters in single document retrieval
  • Concurrency: 1.4x speedup for parallel requests

🛠️ Quick Commands ​

bash
# Start MCP documentation server
cd mnemoverse-docs && node api-server.js

# Test federated MCP integration  
cd mnemoverse-research-library && python test_comprehensive_federated_mcp.py

# Run demonstration scenarios
python demo_federated_research.py

💡 Key Concepts ​

  • MCP Protocol: Standard for AI agent tool integration
  • Federated Calls: Services calling each other's MCP tools
  • Dual Endpoints: Same functionality via HTTP REST or MCP JSON-RPC
  • Auto-Discovery: Services find each other automatically

🎯 Use Cases ​

  1. Enhanced Research Responses - AI gets real-time access to documentation
  2. Cross-Service Integration - Different parts of Mnemoverse ecosystem communicate
  3. External Tool Access - Third-party services can use our MCP endpoints
  4. Development Efficiency - Standardized way to expose and consume tools

📖 Documentation Structure ​

Overview & Getting Started ​

Technical Implementation ​

Development Resources ​

Ready to dive in? Start with the 🎯 Overview for a simple explanation of what works today!