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My MCP Servers

by nengelmann

AI/Development ToolsServerPythonToolsAgents

This repository provides a collection of Model Context Protocol (MCP) servers, which are designed to enable standardized integration and communication between tools and agents. MCP servers act as wrappers around tools, making them readily usable by AI applications.

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My MCP Servers 🛠

MCP

MCP

Python

Python
UV

UV

Intro & Links

The Model Context Protocol (MCP) serves tools and agents in the same way that REST APIs serve applications. It enables standardized integration and communication.

MCP enables seamless integration between:

  • MCP Servers (Tools) - Like getting weather data
  • MCP Clients (Agents & Apps) - Like OpenWebUI

Think of MCP servers as wrappers around tools that make them instantly usable by AI applications.

Essential Links 🔗

Getting Started

Checkout the add-note example server to get started.

Development Guide 🧑‍💻

Creating a New Server

  1. Setup Structure

    export MY_SERVER="my-server-name"
uvx create-mcp-server --name $MY_SERVER --path ./servers/$MY_SERVER

  2. Install Dependencies

    cd ./servers/$MY_SERVER
uv sync --dev --all-extras
cd ../..

Running Locally

export MY_SERVER="my-server-name"
cd ./servers/$MY_SERVER && uv run $MY_SERVER

Development Tools

Monitor your MCP server during development using the official MCP Inspector tool:

export MY_SERVER="my-server-name"
npx @modelcontextprotocol/inspector uv --directory ./servers run $MY_SERVER

Building (Optional)

cd ./servers/$MY_SERVER
uv sync
uv build
cd ../..

Cleanup

To remove a server:

  1. Delete the server entry from them members in pyproject.toml.
  2. Run: 
    rm -r ./servers/$MY_SERVER
uv sync
<div align="center"> Made with ❤️ using Model Context Protocol </div>