MCP Go is a server-side framework for the Model Context Protocol (MCP) implemented in Go, used to connect LLM applications with external data sources and tools. It provides core functions such as resource management, tool invocation, and prompt templates, and supports session management and middleware extension.

mcp-golang is an unofficial Go implementation of the Model Context Protocol library, supporting the rapid construction of MCP servers and clients, and providing features such as type safety, low code volume, modularity, and two-way communication.

This project implements an MCP server for the Notion API, allowing access to and operation of Notion content through the model context protocol, supporting functions such as searching, commenting, and adding pages.

Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

codemcp is a tool that transforms Claude Desktop into a pair programming assistant, allowing users to directly let Claude implement functions, fix errors, and refactor code on the local code repository.

mcp-proxy is a tool for implementing server transmission protocol conversion, supporting proxy conversion between SSE and stdio modes, facilitating communication adaptation between different clients and servers.

iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

Deebo is an AI debugging assistant that can accelerate the process of resolving code errors and improve development efficiency through automated investigation and multi - threaded workflows.

Each wiki file should store additional resources (such as images) corresponding to its path in the .resource directory and use git lfs for version management.

FastMCP is a TypeScript-based framework for building MCP servers that support client sessions. It provides simple definitions for tools, resources, and prompts, supports functions such as authentication, session management, returning image and audio content, logging, error handling, SSE communication, etc., and includes CLI tools for testing and debugging.

DevDocs is an intelligent document crawling and processing tool designed to help developers quickly understand and implement technical documents, significantly shortening the R & D cycle.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol, allowing AI assistants to interact with Unity projects and providing a bridge between Unity and the Node.js server.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol. It bridges the interaction between AI assistants and Unity projects through a Node.js server, providing functions such as menu execution, object selection, and component update.

Documentation for resolving Pylance unresolved import warnings

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

The Azure MCP Server is a server that implements the MCP protocol, providing seamless connection between AI agents and Azure services (such as Storage and Cosmos DB), and supporting the conversion of natural language commands into Azure operations.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.

LINE Bot MCP Server is a service that implements the Model Context Protocol (MCP) for connecting AI agents to LINE official accounts, supporting functions such as pushing text and rich - media messages, broadcasting messages, and retrieving user profiles.

Baidu Maps MCP Server is the first domestic map service compatible with the MCP protocol, offering 10 standardized API interfaces such as geocoding and route planning, supporting quick access via Python and Typescript, and enabling agents to implement map - related functions.

A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions

A logo generation server based on FAL AI, providing image generation, background removal, and automatic scaling functions.

Unsplash Image Search Integration Server

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.

An image generation service based on Jimeng AI, designed for Cursor IDE, enabling the generation and saving of images from text descriptions.

Tripo MCP Server is an interface project that connects AI assistants and Tripo AI, supporting the generation of 3D assets through natural language and importing them into Blender.

PAELLADOC is an AI - first development framework that revolutionizes software development in the AI era by implementing the Model Context Protocol (MCP) and five major philosophical principles.

DBHub is a general database gateway that implements the Model Context Protocol (MCP) and supports connections to and operations on multiple databases.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

A File System MCP Server implemented in Go, providing basic file operation functions such as reading and writing files, directory management, and file search, and supporting interaction through the Model Context Protocol.

The Ableton Live MCP Server is a server that implements the Model Context Protocol (MCP). It communicates with Ableton Live via the OSC protocol and provides a tool interface for LLMs to control Ableton Live.

This project demonstrates an SSE-based implementation mode of the MCP server and client, allowing agents (clients) to connect and use the tools provided by the server at any time, suitable for cloud-native scenarios.

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.