Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.

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.

The Crawl4AI RAG MCP Server is an AI agent service integrating web crawler and RAG functions, supporting smart URL detection, recursive crawling, parallel processing, and vector search. It aims to provide powerful knowledge acquisition and retrieval capabilities for AI coding assistants.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

The Aider MCP Server is an experimental model context protocol server used to offload AI coding tasks to Aider, improving development efficiency and flexibility.

An MCP server that can dynamically obtain coding rule files for AI agents from GitHub repositories without local storage, supporting multiple community rule sets and custom rule libraries.

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

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

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.

Snowfort Circuit MCP is a comprehensive Model Context Protocol server suite that provides web and Electron desktop application automation capabilities for AI coding agents, with features such as AI - optimized snapshots, intelligent screenshot compression, and multi - session management.

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.

SystemPrompt Coding Agent is an open-source project that transforms a local workstation into an AI programming assistant that can be remotely controlled via the MCP protocol, supporting voice commands and mobile operations for off-site programming management.

A Java class analysis service based on the MCP protocol. It scans Maven dependencies, decompiles Java class files, and provides detailed class information to help LLMs accurately generate code for calling second-party/third-party package interfaces, thus solving the problem of incorrect coding caused by AI's inability to read dependency source code.

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 service based on the Model Context Protocol (MCP) that provides search, category browsing, and usage example functions for the Lucide React icon library, supporting AI coding assistants and proxy applications to access icon resources.

The Product Requirement Prompt (PRP) is a structured prompt that combines the goal and rationale parts of a traditional Product Requirement Document (PRD) and adds AI key layers (context, implementation details and strategies, verification gates), providing everything needed for an AI coding agent to build a working software vertical slice.

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.

Figma MCP Python is a tool that allows AI coding agents to directly access Figma files and prototypes, and supports quick integration into the development environment through MCP server configuration.

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

A Todoist integrated MCP server developed for Cursor AI to enable direct task management in the coding environment