MCP Server

MCP Server

A Python implementation of the Model Context Protocol (MCP) that connects client applications with AI models, primarily Anthropic's models, with setup instructions for local development and deployment.

Category
Visit Server

README

MCP Server

  1. Create virtual environment and activate it

    uv venv
source .venv/bin/activate

  2. Install dependencies

    uv add mcp httpx arxiv

  3. To launch it by running

    uv --directory /ABSOLUTE/PATH/TO/PARENT/FOLDER/mcp run server.py

  4. Create .env file

    touch .env

  5. Add your key to the .env file:

    ANTHROPIC_API_KEY=<your_key_here>

  6. To test your MCP Server you can use mcp inspector

    npx @modelcontextprotocol/inspector uv run server.py

MCP Client

  1. Install required packages

    uv add mcp anthropic python-dotenv nest_asyncio

  2. To run your client with any MCP server:

    uv run client.py path/to/server.py # python server
uv run client.py path/to/build/index.js # node server

    Relative path

    uv run client.py ./server/server.py

    Absolute path

    uv run client.py /Users/username/projects/mcp/server.py

    Windows path (either format works)

    uv run client.py C:/projects/mcp/server.py
uv run client.py C:\\projects\\mcp\\server.py

Deployment

  1. If the server using pip instead of uv

    uv pip compile pyproject.toml > requirements.txt

  2. Make sure the server use the right python version

    echo "python-3.11.11" > runtime.txt

  3. Input the required environment variables

  4. Run the mcp server

    python server.py

references :

  • https://www.youtube.com/watch?v=wa_A0qY0anA
  • https://learn.deeplearning.ai/courses/mcp-build-rich-context-ai-apps-with-anthropic/lesson/fkbhh/introduction

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured