MCP_V2

ragulradhakrishnancsebe-tech/MCP_V2

★ 0 stars Python 🤖 AI/LLM Updated today

MCP-based AI Research Agent backend built with FastAPI, LangGraph, and FastMCP using SSE transport. Supports distributed MCP tool servers for LLM integration.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp_v2": {
      "command": "uvx",
      "args": [
        "mcp-v2"
      ]
    }
  }
}

Or install with pip: pip install mcp-v2

README Excerpt

A production-style AI backend built using: * FastAPI * FastMCP * LangGraph * LangChain * Tavily Search * Groq LLM * SSE Transport * Multi MCP Server Architecture This project demonstrates how to build scalable AI agents using the Model Context Protocol (MCP) with distributed tool servers. --- ```text

MCP_V2

Quick Install

README Excerpt

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