Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

Deebo is an AI debugging assistant that can accelerate the process of resolving code errors and improve development efficiency through automated investigation and multi - threaded workflows.

Desktop Commander MCP is an AI assistant tool that enables the Claude desktop application to execute terminal commands and manage the file system. It supports functions such as code search, editing, process management, and remote file reading.

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.

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.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

The AI Development Assistant MCP Server is an AI - based code development toolkit that provides functions such as code architecture generation, UI screenshot analysis, and code review, specifically designed for Cursor.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

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.

Godot MCP is a plugin that connects the Godot engine with AI assistants. It enables two-way interaction through the Model Context Protocol and provides functions such as code assistance, scene operation, and project management.

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

An AI voice call system based on the MCP protocol that uses VoIP technology to enable AI assistants like Claude to automatically make calls and conduct intelligent conversations. It supports multiple SIP protocols and audio codecs.

GoPluto MCP is a tool that provides real-time service knowledge, routing rules, and code snippets for AI programming assistants, helping developers quickly obtain the latest verified service provider information and code examples.

The 302AI Sandbox MCP Server is a secure code sandbox service that allows AI assistants to execute arbitrary code, supporting multiple modes and dynamic tool loading.

This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

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.

Zaturn is an AI-powered data analytics assistant that enables natural language queries to obtain business insights and visualization results without writing code.

CICADA is an MCP server that provides structured code indexing for AI code assistants. Through AST-level indexing, call site tracking, and semantic search, it provides efficient context compression for Elixir, Python, and Erlang code repositories, reducing token usage and improving the quality of code understanding.

The ValTown MCP Server is a service designed for AI assistants, allowing code execution in the ValTown environment, supporting multiple platforms and being compatible with mainstream MCP clients.

The MCP Code Checker Server provides code quality checking functions, including Pylint and Pytest checks, and supports AI assistants to analyze code issues and generate repair suggestions.

An intelligent project management system that integrates n8n workflow automation, Claude Code AI programming assistant, and MCP servers, with features such as persistent memory, automatic backup, and code generation

GhidraMCP is a Ghidra plugin that enables AI - assisted binary analysis through the Model Context Protocol (MCP), connecting reverse engineering with AI assistants and providing functions such as natural language interaction, in - depth code analysis, and security vulnerability detection.

SeekCode is a modern desktop application focusing on code snippet management and clipboard integration. It supports multi - language syntax highlighting, tag search, and has a built - in MCP server for automated access by AI assistants.

NetContextServer is a tool that enhances AI programming assistants' understanding of .NET codebases. It provides functions such as in-depth code analysis, semantic search, and test coverage analysis through the Model Context Protocol (MCP).

A Frida - based game hacking MCP server that provides memory scanning, value modification, function hooking, and code injection capabilities similar to Cheat Engine, supporting AI assistants for game modification and reverse engineering analysis.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

This project is an MCP server integrated with the Gerrit code review system, providing functions such as fetching change details and comparing patch set differences to assist AI assistants in code review.

An intelligent research assistant integrating Perplexity AI, providing functions such as search, document retrieval, API discovery, and code modernization check, supporting context tracking and efficient API management.

A text editor server built on Python and FastMCP, providing powerful file operation tools. It enables file reading, editing, and management through a standardized API, and specifically optimizes the accuracy and reliability of code editing by AI assistants.

An MCP plugin that provides code analysis capabilities for AI assistants, supporting code structure, quality, documentation analysis, and natural language queries.

Spring MCP Bridge is an automated tool that can convert REST endpoints of Spring Boot applications into MCP servers, enabling AI assistants to directly interact with APIs. It supports automatic endpoint scanning, model structure preservation, and document annotation extraction without modifying existing code.

The Figma to Flutter MCP server helps AI programming assistants access Figma design data, generate Flutter code, export resources, and set up theme styles.

CodeSeeker is a code search and transformation tool that combines the functions of ugrep and ast-grep, providing intelligent search and replacement capabilities for AI assistants. It supports multiple search modes, safe replacement, and code refactoring.

A server based on the MCP protocol, used to integrate Codelogic's software dependency data into AI programming assistants, providing code method and database impact analysis tools.

This project is a document processing server based on the Model Context Protocol (MCP) standard. By building a vector database and an MCP interface, it enables AI assistants to access external document resources and break through the knowledge limitations of large language models. The project includes two major components: a document processing pipeline and an MCP server. It supports multiple embedding models and file formats and can be applied to scenarios such as querying the latest technical documents and understanding private code libraries.

An MCP server that provides code context for AI assistants by indexing local code into a graph database, supporting code analysis, relationship query, and real - time update functions.

The ShadowGit MCP server provides secure git access and session management functions for AI assistants, supports the creation of clean code commits, and enhances debugging and code analysis capabilities

AI development assistant toolkit that provides code architecture, screenshot analysis, code review, and file reading functions

Temporal-MCP is a server that connects AI assistants with Temporal workflows. Complex workflows can be triggered and managed through natural language conversations without writing additional code.

A service that provides code context analysis through the WebAssembly Tree - sitter parser, supports extracting directory structure and code symbols, and is compatible with the MCP protocol for integration with AI assistants.