OpenSumi is a framework that helps quickly build AI - native IDE products. It supports cloud and desktop development environments and provides rich example projects and templates.

Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

Sail is a project aiming to unify stream processing, batch processing, and compute - intensive (AI) workloads. It provides an alternative to Spark SQL and Spark DataFrame APIs and supports both standalone and distributed environments.

XcodeBuild MCP is a server that integrates Xcode-related tools for AI assistants and MCP clients, supporting functions such as Xcode project management, simulator control, and app utilities to achieve an automated development process.

Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

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.

wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

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.

Nx Console is a visualization tool for Nx and Lerna monorepo projects, which enhances the AI function of the editor and provides project and workflow management.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

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.

Godot MCP is a Model Context Protocol server designed for the Godot game engine, providing functions such as editor control, project execution, and debug output capture, and supporting the interaction between AI assistants and the Godot engine.

The HowToCook - MCP Server is a project that transforms an AI assistant into a personal chef. Based on the HowToCook recipe data, it provides functions such as recipe query and meal recommendation for AI clients through the MCP protocol, solving the problem of 'what to eat today'.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

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.

Cursor AI rule configuration for the tfmcp project

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.

This project provides support for Model Context Protocol (MCP) tool calls for LangChain, enabling interaction with AI models through the MCP toolkit, such as file reading and summary generation.

The Xcode MCP Server is a server based on the Model Context Protocol, providing comprehensive Xcode integration capabilities for AI assistants, including project management, file operations, build testing, CocoaPods and Swift package management, and iOS simulator tools.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

MCPSvr is an innovative community directory project for MCP servers, originating from the 5ire project. It aims to help developers discover excellent tools and simplify the process of sharing their own MCP servers.

This project builds a bridge between Claude Code and Google Gemini AI, enabling direct calls to Gemini in the Claude Code environment for Q&A, code review, and creative brainstorming, providing a convenient AI collaboration tool.

An AI-assisted software development workflow tool based on specification-driven development, providing a real-time dashboard to monitor project progress and document management.

The Cheat Engine MCP Bridge is a project that connects AI assistants to the Cheat Engine memory analysis tool through the MCP protocol, allowing users to directly query and manipulate program memory through natural language instructions, significantly improving the efficiency of reverse engineering and debugging.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

Godot MCP is a plugin that connects the Godot engine with AI assistants. It enables two-way interaction through the Model Context Protocol and provides functions such as code assistance, scene operation, and project management.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol, enabling convenient access to open data and community - based publishing.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

Claude Talk to Figma MCP is a plugin based on the Model Context Protocol that allows AI tools such as Claude Desktop to directly interact with Figma, enabling AI-assisted design capabilities. The project connects the AI client and the Figma plugin through a WebSocket server, supporting design operations such as document analysis, element creation and modification, and text processing.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect an AI assistant with the GraphQL API of the Linear project management system, supporting functions such as issue tracking and project management.

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

awesome - mcp is a project that collects Model Context Protocol (MCP) servers/clients, aiming to simplify the integration of large language models with external systems through a standardized protocol.