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.

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

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 functions.

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.

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.

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.

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.

MCP as a Judge is a behavioral MCP server that acts as a validation layer between AI coding assistants and LLMs. By enforcing evidence - based research, code quality reviews, and human decision - making intervention, it ensures the generation of safer and higher - quality code.

An MCP server that allows AI assistants to access and search local history session records of multiple AI coding assistants, facilitating the review, learning, and continuation of previous work.

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 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.

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.

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

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

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.

A Model Context Protocol (MCP) server based on the dbt CLI that provides a standardized interface for AI coding agents to operate dbt projects and supports the execution of all major dbt commands.

The prompts.chat MCP server allows AI coding assistants to directly access thousands of AI prompts, supporting searching for, obtaining, and saving prompts, and providing a variable replacement function.

OpenAPI-MCP is a Dockerized MCP server that can automatically generate MCP toolkits from Swagger/OpenAPI specification files, enabling AI agents to access any API without additional coding.

persistproc is a shared process layer tool designed for multi - agent development workflows. Through the MCP server and command - line tool, it allows agents and human users to view and control long - running processes (such as web servers). Its aim is to reduce copy - paste operations when coding with AI, support multi - agent collaboration, and remain tool - independent.

NeoCoder is an AI programming assistance system based on the Neo4j knowledge graph. It enables the interaction between AI assistants and the knowledge graph through an MCP server, providing standardized coding workflows, dynamic instruction manuals, and project memory functions. The system supports multiple operation modes (incarnations), including basic programming, scientific research, decision - making analysis, complex system modeling, knowledge graph management, and code analysis. It stores workflow templates and execution records in Neo4j to ensure the traceability and standardization of the coding process.

ToolFront is an AI proxy database connection tool that securely connects coding assistants to team databases through the MCP protocol, enabling collaborative learning and sharing of query patterns.

MyMCP is a Python-based application that supports parallel execution of multiple AI coding tasks through the Aider tool, providing options for parallel/sequential execution, detailed reports, and performance comparison functions.

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

A Todoist-integrated MCP server designed for Cursor AI to directly manage tasks in the coding environment

The Webvizio MCP Server is a TypeScript - based model context protocol server that provides secure and structured access to the Webvizio API. It can automatically convert website feedback and error reports into executable development tasks for AI coding agents to process.

Cursor Buddy MCP is an AI assistant context management tool based on the Model Context Protocol, which helps AI assistants maintain consistent awareness of project standards, conventions, and history. By centrally managing coding rules, project documents, to - do lists, and database information, it enables AI assistants to provide more accurate and consistent responses.

Test Coverage MCP is an MCP server that provides test coverage data for AI programming agents. It supports parsing LCOV format files, allowing agents to view coverage changes in real - time when coding, avoid coverage decline, and track improvement progress.

The Smart Coding MCP server provides a semantic - based code search function for coding assistants through a local AI model, supporting multi - project management and progressive indexing.

Arcanna MCP Server is a service that interacts with Arcanna AI use cases through the Model Context Protocol (MCP), providing functions such as resource management, Python coding, event query, task management, feedback system, and health monitoring.

The CCXT MCP server provides seamless docking between AI trading strategies and over 100 cryptocurrency exchanges through a standardized model context protocol, enabling automated trading without coding.

An MCP server tool designed for AI assistants, supporting operations such as file reading, writing, deletion, and renaming, optimizing the development process and improving coding efficiency.