# MCP Protocol

This is a simple example project showing how to use an SSE server to implement the Model Context Protocol (MCP), including the basic implementation of the server and client.

A GitHub project management server implementing the Model Context Protocol, providing programmatic management capabilities for GitHub projects to LLM clients through standardized tools.

A to-do item management server based on the MCP protocol, providing a complete API for creating, updating, completing, and searching tasks, and can be used as a teaching example for MCP implementation.

MCP-Time is a Node.js server for time queries based on the MCP protocol, providing accurate time services for AI.

A Model Context Protocol (MCP) server project implemented for the Strava API, currently under active development.

This is an MCP server based on OmniParser that can analyze screen content and automatically operate the GUI interface, mainly running on the Windows system.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

An MCP server implementation based on Postmark for sending emails through the Postmark service, supporting template emails, email statistics, and other functions.

Multi-chain DeFi Transaction Service

An information security management system integrating AI, implementing intelligent security analysis using the MCP protocol.

An AI assistant database query tool supporting the MCP protocol

This project implements two types of MCP protocol servers: the Echo Server for testing and the Browser-use Server based on browser automation tools, supporting LangChain integration and interaction with OpenAI.

An MCP server that provides accurate numerical calculation services for LLMs

An MCP SDK demonstration project based on Node.js and TypeScript, providing BMI calculation and addition tools, supporting SSE real-time response, and integrating GitHub Copilot and Microsoft Copilot Studio.

An MCP server integrated with the Lark/Feishu API, enabling LLMs to interact with Lark services.

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

The Vilnius Public Transportation MCP Server project provides large language models with the ability to access real-time traffic data through the MCP protocol.

The Locust-MCP-Server is a load testing server based on the Model Context Protocol framework, supporting seamless running of Locust performance tests through an AI development environment, providing configurable test parameters and real-time execution output.

An MCP service connecting to Feishu Docs, supporting access to document spaces and lists, and seamless integration with AI clients.

An MCP service based on Beancount, supporting ledger query execution and transaction submission

The SEO Review Tools MCP Server provides advanced SEO data integration for applications and AI agents through the Model Context Protocol (MCP), supporting natural language interaction to access massive SEO data endpoints.

WP-CLI AI command plugin that enables AI interaction in WordPress development through the Model Context Protocol (MCP), supporting connection to local or remote MCP servers.

An MCP server implementation based on Go language, integrating the Grafana Tempo distributed tracing system, providing a tool interface for AI assistants to query and analyze tracing data. It supports two communication modes: standard input/output and HTTP/SSE, and can be connected to AI clients such as Claude Desktop.

An implementation of a knowledge graph management MCP server based on Neo4j, providing standard interfaces for the storage and retrieval of graph databases.

An MCP server project implemented in TypeScript based on FastMCP, used to interact with Telegram via the MTProto protocol and provide tool support for AI models.

Implementation of the Claude Text Editor MCP Server

The MCP LLMS - TXT documentation server is an open - source tool that allows developers to fully control the document retrieval tools used by IDEs (such as Cursor, Windsurf, etc.) through the MCP protocol, providing customized management and auditing functions for llms.txt files.

A Model Context Protocol (MCP) server designed for Adobe After Effects, enabling applications such as AI assistants to control After Effects through standardized protocols.

An MCP server based on the image search capabilities of the Inspire backend, providing the function of searching for similar pictures through text descriptions.

An MCP server implementation based on Ruby 3.3, providing greeting and calculation tools, supporting Cursor integration and background operation.