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by saminegash • Uncategorized
A scalable MCP infrastructure featuring a proxy server, intelligent RAG-enabled agent, mock MCP servers, and a web interface for AI integration.
A centralized MCP proxy to route requests to multiple MCP servers.
Intelligent assistance with RAG-enhanced responses over a mock knowledge base.
Interact with mock implementations of Filesystem, GitHub, Atlassian, and Google Drive MCP servers.
This repository implements a comprehensive Model Context Protocol (MCP) system with a centralized proxy server routing requests to multiple mock MCP servers such as Filesystem, GitHub, Atlassian, and Google Drive. It includes an AI-powered agent with Retrieval-Augmented Generation (RAG) capabilities for enhanced knowledge retrieval, a web UI for user interaction, and a command-line client tester. The system is designed to demonstrate scalable MCP infrastructure for AI development and integration with extensive testing and configuration options.