🚀 The fast, Pythonic way to build MCP servers and clients.
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Updated
Jun 6, 2026 - Python
🚀 The fast, Pythonic way to build MCP servers and clients.
Open source MCP Servers for AWS
MCP Client as an Agent Strategy Plugin. Support GUI operation via UI-TARS-SDK.
A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.
Simple MCP Server — Educational Example This repository contains a minimal MCP (Model Context Protocol) server built for educational purposes. Its goal is to help developers understand how the MCP protocol works and how to manage decision-making processes based on model–client communication.
Experimental: Bidirectional MCP integration for Strands Agents.
Spire.XLS MCP Server, using Spire.XLS on mcp tools
🚀 Manage CTFd challenges effortlessly with this MCP server, enabling users to list, control, and submit flags in dynamic Docker instances.
🚀 Connect Burp Suite MCP Server to multiple AI backends with practical guides and templates for safe, real traffic analysis.
Usage tracking and analytics for MCP servers
Query MLB Statcast data using plain English through an MCP server that connects AI assistants to Baseball Savant, FanGraphs, and Baseball Reference.
🎬 Simplify video and audio processing using FFmpeg with MCP-compatible AI. Convert, compress, and edit media through natural language commands.
Analyze network captures with natural language by connecting sharkd to LLMs via an MCP server.
Travel Copilot is an AI-powered assistant that helps travelers generate itineraries, Instagram captions, and reel ideas for any destination. This project solves the common challenge of manually planning trips and creating engaging content for travel enthusiasts.
Provide a server for RequestRepo enabling request handling, sharing, DNS, files, and ping with secure, configurable transport and mutation control.
Build MCP servers with FastMCP and connect them to any LLM. Includes API server, browser automation and integration with LangChain using mcp-use.
This repo consists of various MCP servers which can be easily integrated in your AI systems.
Bidirectional bridge between source systems and mcp-awareness — collects metrics, evaluates thresholds, reports status and alerts via MCP.
Code for the presentation, "Discover the power of MCP".
Connect your MCP client to the Lolzteam ecosystem with 271 tools for market operations, forum interactions, and account management.
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