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.

Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.

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.

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'.

A software development planning tool based on the Model Context Protocol (MCP), which provides functions for task breakdown, progress tracking, and development plan management to help teams efficiently plan software development projects.

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.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

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.

The Figma MCP Server project integrates with the Figma API through clients such as Claude, supports file reading and design system management functions, has an extensible architecture but is currently read - only due to API limitations.

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 demonstrates how to use LlamaCloud to create an MCP server and the application of LlamaIndex as an MCP client.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

This project implements functions similar to Claude Code through the MCP protocol, providing tools for code understanding, modification, and command execution. It supports multiple models and Jupyter notebook operations, and has security control and development expansion capabilities.

An MCP diagnostic tool developed specifically for Trae IDE, which can obtain real-time error, warning, and prompt information in the project, helping the AI Agent provide accurate code analysis and repair suggestions.

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.

This project provides a FastMCP server for batch execution of file and folder operations, including reading, creating, moving, deleting, etc., supporting centralized exception handling and batch tool calls.

The HubSpot MCP Server is an open - source project that provides functions to interact with the HubSpot CRM API, supporting the management of contacts, deals, and companies, as well as sales analysis and forecasting.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

Think MCP is a project that implements an MCP server, providing the 'think' tool to support AI agents in performing structured reasoning in complex tasks, inspired by Anthropic's research. This tool helps AI process information, backtrack, or adhere to strategies by recording the thinking process, and is suitable for scenarios such as tool output analysis, policy-intensive environments, and sequential decision-making.

This project sets up an MCP server for querying World Mini Apps documentation and integrating it with Cursor to help developers develop MiniApps more efficiently.

The TickTick MCP Server is a task management API service, providing complete task and project management functions, including task creation/updating, project organization, habit tracking, etc., supporting OAuth authentication and rich custom options.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

MCP is an open-source protocol for standardizing LLM interactions, providing a unified framework for connecting data sources, obtaining context, using tools, and executing standard prompts. Project examples demonstrate how to build MCP servers and clients to implement knowledge base chatbot functionality.

A Model Context Protocol (MCP) server template project based on TypeScript, providing a structured, maintainable and extensible framework, including implementation examples of tools, resources and prompts, supporting configuration management, logging, error handling and containerized deployment.

x64dbg plugin project that enables dynamic analysis and LLM interaction through HTTP services

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function, supporting connection and use through the MCP Inspector and Claude desktop client.

An MCP server for accessing the SQLite database of the Cursor IDE, supporting AI assistants to explore project data, chat histories, and editor information.

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

This project is a bridging tool that connects Claude Desktop to remote servers. It uses Node.js to convert protocols from stdio to HTTP SSE, supporting service discovery and tool calls of the MCP protocol.

The Project MCP Server is a tool for managing project knowledge graphs, providing structured representations of projects, tasks, milestones, resources, and team members to help project managers track progress, manage risks, allocate resources, and make decisions.

BloodHound - MCP is a project focused on hemodynamics research, providing tools and resources to explore its applications in medicine, engineering, and other fields.

This project provides an MCP server that connects to the Taiwan Central Weather Bureau API, which can conveniently obtain weather forecasts and historical rainfall data in Taiwan region.

This project is an MCP server that provides Claude with the ability to access Solana blockchain data through the Helius API, supporting operations such as querying wallet balances, blockchain information, tokens, and NFTs.

This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

The Hex MCP Server is a service that provides real-time Hex package version information for AI tools (such as Cursor), ensuring the use of correct and up-to-date package versions when adding dependencies in Elixir projects.

This project is a Python-based MCP server template designed to simplify the AI-assisted development process and provide a standardized implementation of the tool interaction protocol. It includes a weather service example, embedded protocol documentation, and Cursor Rules integration, supports multiple transmission modes, and helps developers quickly build tools that comply with MCP specifications.

This project is an MCP server based on the Tradier Sandbox API, providing options chain data and historical price query functions for Claude Desktop.

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

Houtini LM is an MCP server that connects Claude to LM Studio, providing expert - level code analysis, document generation, and creative project scaffolding functions. It supports local operation without API costs and is suitable for developers and creators.

An HTTP SSE client/server project based on Docker containers, supporting tool query and Q&A functions