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.

The CodeSandbox MCP server exposes CodeSandbox SDK operations through tools for AI agents to perform operations such as sandbox creation and file read and write.

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.

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 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.

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.

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.

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 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 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 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.

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.

This is an MCP server project that allows users to define AI sub - agents for specific tasks (such as code review, test writing) in Markdown files and execute them in any MCP - compatible tool through the Cursor, Claude Code, or Gemini CLI backends, realizing the reuse of AI sub - agent workflows across IDEs.

The Athena Protocol is an intelligent MCP server acting as a technical leader for AI programming agents, providing expert verification, impact analysis, and strategic guidance. It helps AI agents detect problems, validate assumptions, and optimize solutions before code changes, thereby improving code quality, reducing regressions, and making more informed architectural decisions.

The official e18e MCP server provides modern, high - performance best - practice suggestions for AI agents, including checking package installation commands, analyzing source code imports, and providing migration guides.

The You.com DX Toolkit is an open-source AI development toolkit that includes npm packages, plugins, and skills, and can work in conjunction with more than 20 AI programming assistants such as Claude Code and Cursor. It provides tools such as the MCP server, Vercel AI SDK plugin, and Teams.ai integration, supporting real-time web search, AI agents, and content extraction functions.

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.

Beads Village is a multi-agent MCP server for task coordination and file locking between AI agents. It combines Beads issue tracking and a built-in mail system, enabling multiple agents to collaborate in the same codebase without conflicts.

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 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.

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.

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 Maven Indexer MCP Server provides a tool for AI agents to search for Java classes, method signatures, and source code by indexing the local Maven repository and Gradle cache, especially suitable for understanding the code of internal private libraries and less - known public libraries.

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.

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.

Cupertino is a Swift - based localization tool used to crawl, index, and provide Apple developer documentation to AI agents through the Model Context Protocol (MCP). It supports offline access to over 230,000 pages of Apple platform documentation, Swift proposals, design guidelines, and sample code, and enables fast retrieval through the SQLite FTS5 search engine.

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.

This is a prototype of a code execution server based on the MCP protocol, which combines the code generation capabilities of large language models with MCP tool integration, enabling AI agents to run Python code in an isolated sandbox and invoke external tools.

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.

A multi-agent debate framework based on the MCP protocol for code review and debate planning. It conducts code reviews by executing multiple AI agents (such as Claude and Codex) in parallel, uses a deterministic scoring system (P0/P1/P2 severity classification) and platform-specific rules, and finally merges the results to generate a review report.

sqlew is an MCP server that provides a shared SQL context repository across sessions for AI agents. By recording the reasons for decisions and constraint rules, it prevents context loss and duplicate work, achieving efficient team knowledge management and code consistency.

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.

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.

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.

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.