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AI Protocol Proxy

bybelaymit
0
Desarrollo de API
Herramientas para Desarrolladores
Ciencia de Datos y ML

Routes Model Context Protocol requests to various downstream services and integrates a RAG-enabled AI agent for development assistance.

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This project implements a comprehensive ecosystem for the Model Context Protocol (MCP), providing a central proxy server to intelligently route requests to multiple downstream MCP services. It incorporates a sophisticated Dev Assistant Agent powered by LangGraph.js and LangChain JS, offering advanced Retrieval Augmented Generation (RAG) capabilities with a mock knowledge base. The system is designed for seamless integration with popular IDEs like VS Code and Cursor, enabling AI-powered developer assistance by unifying access to diverse data sources and tools through a standardized protocol.

Características Principales

  • IDE Integration for VS Code and Cursor MCP support
  • Dev Assistant Agent powered by LangGraph.js and LangChain JS
  • Retrieval Augmented Generation (RAG) capabilities with mock knowledge base
  • MCP Proxy Server for request routing to multiple services
  • 0 GitHub stars
  • Integration with various downstream services (Filesystem, GitHub, Google Drive, Atlassian)

Casos de Uso

  • Providing unified access to diverse development tools and data sources via a single protocol
  • Assisting developers with an AI agent capable of retrieving and generating context-aware information from various platforms
  • Facilitating AI integration into IDEs for enhanced productivity and information access during coding