Skip to main content
Glama

MCP AI Server

by MeetRathodNitsan
GitHub
Python
  • Apple
  • Linux
OverviewInspectNewEndpointsSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

šŸ§  MCP AI Server ā€” 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.

MCP + Claude + Pinecone Python License: MIT

šŸš€ Features

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

šŸ”§ 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

This server cannot be installed

-
security - not tested
-
license - not tested
-
quality - not tested

How are these scores calculated?

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. šŸš€ Features
    1. šŸ”§ Setup Instructions
      1. 1. Clone the Repo
      2. 2. Create a Virtual Environment
      3. 3. Install Dependencies
      4. 4. Configure Environment Variables
      5. 5. How to use it

    Related MCP Servers

    • Shared Knowledge MCP Server

      j5ik2o
      -
      security
      -
      license
      -
      quality
      This server enables AI assistants (CLINE, Cursor, Windsurf, Claude Desktop) to share a common knowledge base through Retrieval Augmented Generation (RAG), providing consistent information access across multiple tools.
      Last updated -
      4
      • Apple

    • Model Context Protocol Server

      ashishpatel26
      -
      security
      -
      license
      -
      quality
      A server exposing intelligent tools for enhancing RAG applications with entity extraction, query refinement, and relevance checking capabilities.
      Last updated -
      28

    • RAG-MCP Server

      plaban1981
      -
      security
      -
      license
      -
      quality
      A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.
      Last updated -
      3
      Apache 2.0

    • Biel AI

      TechDocsStudio
      -
      security
      -
      license
      -
      quality
      Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.
      Last updated -
      2
      MIT License

    View all related MCP servers

    New MCP Servers

    MCP directory API

    We provide all the information about MCP servers via our MCP API.

    curl -X GET 'https://glama.ai/api/mcp/v1/servers/MeetRathodNitsan/MCP1'

    If you have feedback or need assistance with the MCP directory API, please join our Discord server