Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

CLEO is a portable brain and memory system designed for AI software development, providing project memory, verifiable sources, and agent - secure orchestration across repositories, model providers, and coding tools.

Corbat MCP is an AI coding standards server that injects team coding specifications before the AI generates code through the MCP protocol, ensuring that the generated code meets production standards, security requirements, and passes the code review. It supports multiple programming languages and development tools.

The Feishu MCP Server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing, thereby improving development efficiency.

Inspector MCP Server is an MCP server built specifically for the PHP ecosystem. It allows AI coding assistants to access production environment error data and provides tools for automatically fixing problems and suggesting root cause analysis.

The Feishu MCP Plugin is a service that connects Feishu with AI coding tools (such as Cursor), providing functions such as document reading, message sending, and contract approval, and supporting operation through self - built application authorization.

The Feishu MCP server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing functions.

The Figma MCP Server is a tool that converts Figma design data into an AI-friendly format, supports integration with AI coding tools such as Cursor, and optimizes the process of converting design to code.

A customized MCP server by MiniMax for Coding Plan users, providing AI-driven web search and image analysis tools, optimized specifically for the code development workflow, and can be integrated into MCP clients such as Claude Desktop and Cursor to enhance the programming experience.

OCaml MCP is a project that enhances OCaml development through an AI coding agent, providing an MCP protocol implementation and a development server, and deeply integrating OCaml platform tools such as Dune and Merlin.

Sugar is an autonomous execution layer designed for AI programming agents, providing task queue management, 24/7 continuous operation, and a persistent memory system, supporting integration with mainstream AI coding tools such as Claude Code and OpenCode.

The DBT CLI MCP Server is an AI coding agent service for interacting with dbt projects through standardized MCP tools

An AI - driven architecture analysis and intelligent coding agent system for GitHub repositories. By deeply analyzing the codebase structure, generating architecture blueprints, and using real - time MCP tools, it ensures that AI coding agents follow unified architecture specifications, improving code quality and consistency.

The Feishu MCP Plugin is a service that connects Feishu with AI coding tools (such as Cursor), providing functions such as document reading, message sending, and contract approval.

MiniMe-MCP is an upgraded project for an AI development assistant. By creating a digital twin of the developer, it enables persistent memory and intelligent pattern recognition across projects. It solves the problem that traditional AI assistants lack memory and context understanding, provides personalized coding suggestions based on historical experience, supports multiple IDE tools, and can run locally to ensure data privacy.

This is an AI Development Assistant MCP Server project that provides intelligent coding assistance tools, including code architecture generation, UI screenshot analysis, and code review functions. It is mainly used for tutorial demonstrations rather than production environments.