Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

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

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.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

A service implementing the Model Context Protocol (MCP), providing tools for retrieving and analyzing the entire codebase, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand the entire codebase.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

Pushover MCP is a tool that implements the Model Context Protocol specification, allowing AI agents to send notifications via Pushover.net. It provides a simple configuration method and multiple integration methods, and supports use on platforms such as Cursor and Roo Code.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

A plug - and - play Redshift database MCP service that provides a secure and standardized data access interface for LLMs and AI agents, supports multiple permission modes, and can be deployed and used without code modification.

The ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

The Dumpling AI MCP Server is a model context protocol server integrating multiple AI functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution.

The AI Code Toolkit provides MCP servers and tools to help AI programming agents maintain code consistency, follow conventions, and scale as the codebase expands, including scaffolding templates, architectural patterns, and validation rules

The MCP Toolkit is a modular server implementation for building high-precision vertical AI agents, providing support for 123 tools, significantly reducing the amount of code, and simplifying complex workflows.

A backup and recovery server designed specifically for AI agents and code editing tools, providing fast and secure backup functions, suitable for instant backups before high - risk operations.

AI code review and issue repair agent for analyzing codebases, detecting security vulnerabilities, reviewing code quality, and providing repair suggestions based on Sentry error logs.

The MCP Backup Server is an instant backup and recovery system designed specifically for AI agents and code editing tools, providing fast security points and context preservation functions.

ipybox is a lightweight Python code execution sandbox based on IPython and Docker, supporting secure code execution in local or remote environments. It is suitable for data analysis and code execution scenarios of AI agents.

The Authenticator App MCP Server is a secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App, seamlessly obtain 2FA codes and passwords, help automate the login process, and maintain security.

Unity Code MCP is a high - performance MCP server built on Rust, designed for AI agents to independently write Unity code, providing lightweight and efficient compilation feedback and test execution capabilities.

The Superdesign MCP Server is a design coordinator that integrates the open - source Superdesign AI design agent into Claude Code, allowing users to use its advanced design features without an API key. It provides structured specifications through the MCP server, enabling the LLM of Claude Code to perform design tasks. It supports multiple design types such as UI designs, components, and icons, and includes iteration and design system extraction functions.

MCP (Model Context Protocol) is a standardized protocol that enables AI agents to seamlessly communicate with various tools and services. GitHub integration provides repository management, code operations, issue management, and collaboration features.

This project provides a middleware/control plane (MCP) server that allows code agents to securely execute queries on multiple databases while protecting database credentials. It manages connection configurations through an SQLite database, supports databases such as PostgreSQL, MySQL, MongoDB, and Oracle, and provides integration tools with AI agents such as Gemini and Claude.

A2AMCP is a real-time collaboration protocol between AI agents based on Redis, which solves the code conflict problem during parallel development of multiple AI agents, provides functions such as file locking, interface sharing, and task coordination, and supports Docker deployment and integration with mainstream AI frameworks.

An MCP server for multi - AI agent consultation that integrates different AI models such as OpenAI, Anthropic, and Google Gemini to provide multi - model perspective support for code analysis and problem - solving.

Mindpilot MCP is a visual code analysis tool that generates architecture diagrams, code flowcharts, etc. through an AI agent to help developers understand complex code structures, and supports local processing and multi-client collaboration.

The MCP Development Agent is an intelligent development assistant based on the Model Context Protocol (MCP), providing memory management, document search, Git/GitHub integration, and code analysis functions. It supports CLI and SSE server modes and uses local AI models to achieve intelligent-assisted development.

GitLab MR MCP is a service based on the Model Context Protocol (MCP), which provides the ability for AI agents to interact with GitLab repositories, including managing merge requests, viewing code differences, adding comments, and other functions.

Polyagent MCP is an MCP server that brings Claude Code agents to AI programming assistants like Codex and Gemini, enabling zero-configuration reuse of existing Claude agent definitions and improving team collaboration efficiency.

The Dumpling AI MCP Server is a model context protocol service integrating multiple functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution, and supporting a rich set of API interfaces and tools.

trackio-mcp is a Python package that provides MCP (Model Context Protocol) server support for the trackio experiment tracking tool, enabling AI agents to observe and interact with trackio experiments through the MCP protocol. It can automatically enable the MCP server functionality by a simple import without modifying existing code, and supports local and Hugging Face Spaces deployment.

A Docker-based FastMCP server that provides a secure code execution, Shell command, and multi-language running environment for AI agents, supporting integration with Claude Desktop and Cursor

Overview: MCP is a standard protocol, similar to the Type C protocol of electronic devices (which can both charge and transmit data), enabling AI models to interact with different APIs and data sources. It aims to replace fragmented Agent code integration and improve the reliability and efficiency of AI systems. By establishing a common standard, service providers can offer their own AI capabilities according to the protocol, supporting developers to build more powerful AI applications more quickly. MCP maintains the context between different applications and services, enhancing the overall ability of autonomous task execution.

A collection of 46 professional AI sub - agents to expand the functionality of Claude Code, covering multiple fields such as development, architecture, language, infrastructure, quality and safety, data AI, etc., and achieving task optimization through specific model allocation.

The Tree-Hugger-JS MCP server is a code analysis and transformation tool based on JavaScript/TypeScript. It provides powerful code parsing, pattern matching, and refactoring capabilities for AI agents through the tree-hugger-js library, supporting multiple syntaxes such as JS/TS/JSX/TSX.

The Last9 MCP Server is a service that implements the Model Context Protocol, providing real-time production environment context (logs, metrics, tracing data) for AI agents to help quickly and automatically fix code. It supports multiple IDEs and tools, and provides functions such as exception query, service dependency graph, and log filtering.

This project contains the configuration of custom commands for Claude code, used to standardize the interaction with the AI agent and provide functions such as code analysis, documentation generation, and security review.

A lightweight MCP server that enables AI agents or MCP - compatible assistants to initiate and verify PID (Personal Identity Data) credential presentations through the OIDC4VP protocol, suitable for secure, QR - code - based wallet interactions.

Contrast MCP Server is a bridge that connects Contrast security data with AI agents/LLMs, helping developers and security professionals quickly fix vulnerabilities. It supports multiple deployment methods, including local running and Docker containers, and can be integrated with tools such as VS Code and Copilot.

Overview: The Model Context Protocol (MCP) is a protocol designed to enable AI agents to access and utilize context, tools, and prompts. It allows for the creation of servers that provide standardized interfaces to interact with local or remote services, thereby enabling automated workflows such as reading files, operating databases, debugging code, and pushing changes to GitHub.

Overview: The MCP Server aims to achieve full automation of AI agents. By providing a standardized protocol as an intermediate layer, it informs AI agents about currently available services, APIs, and data sources, enabling them to decide whether to call specific functions to perform tasks such as code modification, repository search on GitHub, problem search and creation, etc.