A detailed hands-on tutorial for learning Model Context Protocol (MCP) server development with Python. Includes working examples, VSCode debugging setup, tests, and a step-by-step guide covering everything from basic architecture to deployment. Perfect for anyone wanting to build AI-integrated tools and to understand how Claude extensions work.

A Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.

🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai

A Custom MCP Server for LinkedIn integration built with FastMCP.

MCP Server for Tree-sitter

An MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all through simple chat with Claude, Cursor or Windsurf.

An MCP server for loading skills (shim for non-claude clients).

Windows Remote MCP Server — 40+ tools for desktop automation, process management, file operations via FastMCP

Things.app MCP Server

MCP server for Gmail, Google Calendar, and Google Drive integration using fastmcp. Supports multiple accounts, email management, calendar events, and file operations.

A Model Context Protocol (MCP) server that enables AI assistants to securely access and analyze Microsoft Fabric Analytics data through authenticated API calls.

Expose Django admin models to MCP (Model Context Protocol) clients. Add a mixin to your ModelAdmin classes and let AI assistants like Claude perform CRUD operations, execute admin actions, and explore relationships—all respecting Django's permission system.

MCP Server for Telegram

Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure

FreeCAD MCP - Open-source Model Context Protocol server for FreeCAD automation

Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating interoperable agent ecosystems that can collaborate to solve complex problems.

Spark is a powerful, multi-provider LLM interface for conversational AI with integrated tool support. It supports AWS Bedrock, Anthropic Direct API, and Ollama local models through both CLI and Web interfaces.

The universal configuration manager for your AI assistants. Define context once in a single ai-rulez.yml file, and use the CLI to generate synchronized instructions for Claude, Cursor, Copilot, and all your favorite AI tools.

🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.

An MCP Server for PDFs

Penpot MCP server