MCP AI Server
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.
README
🧠 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
🔧 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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