🧠 MCP AI Server — Modular Context Protocol for Intelligent Search

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.

🚀 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

Related MCP server: Pinecone MCP Server

🔧 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