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MCP AI Server

Welcome to the MCP AI Server, a powerful and modular tool that uses RAG-based retrieval, Pinecone vector storage, and MCP (Model Context Protocol) to create intelligent assistants capable of answering domain-specific questions from your own knowledge base.

MCP + Claude + Pinecone Python License: MIT


🚀 Features

✅ Local MCP server with FastAPI + Claude/ChatGPT integration
✅ Embedding using intfloat/multilingual-e5-large (via SentenceTransformer)
✅ Fast vector search with Pinecone
✅ Documented tools exposed to clients like Claude and Cursor IDE
✅ Secure .env usage for managing API keys
✅ Clean, extensible architecture


🔧 Setup Instructions

1. Clone the Repo

git clone git@github.com:MeetRathodNitsan/MCP1.git cd MCP1

2. Create a Virtual Environment

python -m venv .venv # Windows .venv\Scripts\activate # macOS/Linux source .venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment Variables

OPENAI_API_KEY=your-api-key... PINECONE_API_KEY=... PINECONE_ENVIRONMENT=your-env

5. How to use it

uv --directory F:/Project run main.py
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security - not tested
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license - not found
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quality - not tested

A modular tool that combines RAG-based retrieval with Pinecone vector storage to create intelligent assistants capable of answering domain-specific questions from your knowledge base.

  1. 🚀 Features
    1. 🔧 Setup Instructions
      1. Clone the Repo
      2. Create a Virtual Environment
      3. Install Dependencies
      4. Configure Environment Variables
      5. How to use it

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