Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.

codemcp is a tool that transforms Claude Desktop into a pair programming assistant, allowing users to directly let Claude implement functions, fix errors, and refactor code on the local code repository.

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.

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.

MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.

The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.

Serena is a powerful open - source coding agent toolkit that can transform LLMs into full - fledged agents that can work directly on codebases. It provides IDE - like semantic code retrieval and editing tools, supports multiple programming languages, and can be integrated with multiple LLMs via the MCP protocol or the Agno framework.

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 It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.

Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.

OpenZeppelin Contracts Wizard is an interactive smart contract building tool that allows users to generate contract code based on OpenZeppelin components by selecting contract types, parameters, and functions. It supports multiple programming languages and provides API and embedding functions.

FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.

The LongPort OpenAPI SDK provides programmatic trading and market quote interfaces, supports multiple programming languages, and helps developers build investment strategy analysis and trading tools.

pg-aiguide is an AI-optimized PostgreSQL knowledge base that provides semantic search for official documentation, best practice skills, and extended ecosystem documentation for AI programming assistants, helping to generate higher-quality PostgreSQL code.

Apple Doc MCP is a model context protocol server that provides direct access to Apple developer documentation. It is integrated into the AI programming assistant, supporting intelligent search, framework browsing, and detailed documentation retrieval.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

PMAT is a zero-configuration AI code context generation tool that provides functions such as code quality analysis, technical debt grading, mutation testing, repository health scoring, and semantic search. It supports over 17 programming languages and can be integrated with AI assistants such as Claude Code through the MCP protocol.

DaVinci Resolve MCP Server is a Model Context Protocol server that connects AI programming assistants (such as Cursor, Claude Desktop) with DaVinci Resolve, supporting natural language queries and control of DaVinci Resolve.

A secure Docker container code sandbox environment that provides an isolated execution space for AI applications, supporting multiple programming environments and file operations.

llmctx is a tool for converting technical documentation into an AI-ready format. It provides preset URLs for quick access to LLM-optimized documentation of popular frameworks and libraries, helping developers obtain accurate and up-to-date context information when using AI programming assistants.

Ruchy is a modern programming language for data science and scientific computing, with a self - hosted compiler, a comprehensive toolchain, and enterprise - level quality standards.

An MCP server that integrates multi - platform programming resources, providing code search, documentation query, and package management functions

An MCP server that reads, checks, and navigates codebase symbols by connecting to language servers, providing tools such as code outline, symbol inspection, search, and renaming, and supporting multiple programming languages.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

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.

An MCP server based on Rust that provides in-depth code intelligent analysis, supporting functions such as symbol extraction, semantic search, security analysis, and supply chain security for 16 programming languages, with an emphasis on privacy and performance.

The Kibana MCP Server project is a community-maintained tool that allows MCP-compatible clients (such as Claude Desktop) to access Kibana instances through natural language or programming. It is based on the official API documentation of Elastic Kibana, providing functions such as security authentication, API endpoint management, and search execution, and supporting two interaction modes: tools and resources.

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.

An offline documentation MCP server for Garmin Connect IQ SDK, providing complete access to version 8.2.3 documentation for AI assistants, including API documentation, programming guides, device references, and troubleshooting resources.

devtap is a tool that automatically bridges the output of build/development commands to AI programming sessions. It captures stdout/stderr and provides it to AI programming assistants via the MCP protocol, supporting multi-agent parallel sessions and cross-machine build scenarios.

o3 - search - mcp is an MCP server that supports using the OpenAI o3 model and its powerful web search function to help AI programming agents independently solve complex problems.

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.

An MCP server that provides an isolated Docker environment, supporting code execution, package installation, and environment configuration in multiple programming languages

The Claude MCP server for GB Studio is used to create and modify GameBoy game projects through natural language prompts, supporting visual programming and AI-assisted development in educational scenarios.

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

Yamu is an experimental MCP server project aimed at enabling AI programming assistants to interact with Unity projects, providing compilation and testing functions, and supporting an automated edit-compile-debug cycle.

ClaudeSmalltalk is a project that connects Claude Desktop to a running Smalltalk programming environment. It provides 14 tools such as code evaluation, class browsing, and method definition through the MCP protocol, supports local or cloud LLM drivers, and ensures that the code is secure and does not leave the local machine.

Grigori is a desktop application that helps developers manage and organize programming specifications, architectural patterns, and development preferences through the MCP protocol, enabling AI programming assistants to access personalized coding contexts.

This project demonstrates how to use the Sequential Thinking MCP Server to solve linear and non-linear programming problems. It breaks down complex optimization problems through structured steps and supports verification and revision.