OpenSumi is a framework that helps quickly build AI - native IDE products. It supports cloud and desktop development environments and provides rich example projects and templates.

Container Use is an open-source tool that provides a containerized isolated environment for coding agents, supporting parallel development of multiple agents without interference.

The StrawHat AI development repository provides a complete solution for building local and online AI development environments, including various tools such as the Ollama backend, Open - WebUI frontend, and Claude desktop proxy, supporting rapid deployment and development of AI applications.

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.

Agent MCP Gateway is a Model Context Protocol (MCP) gateway used to aggregate multiple downstream MCP servers and provide policy-based access control. Through its on-demand tool discovery mechanism, it solves the problem of context window waste caused by loading all tool definitions at startup in development environments such as Claude Code, reducing context occupation by over 90%.

The SDKMAN interactive command-line tool provides a convenient interface for browsing, filtering, and installing SDKs, supports all SDKMAN candidate versions, and can integrate with an AI assistant to manage the development environment through natural language.

A simple MCP server based on Perplexity AI, providing web search functionality and supporting development and deployment in the Windows environment.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

DiffuGen is an advanced local image generation tool that integrates the MCP protocol, supports multiple AI models (including the Flux and Stable Diffusion series), and can directly generate high-quality images in the development environment. It provides flexible configuration options, multi-GPU support, and can be integrated with multiple IDEs through the MCP protocol. It also provides an OpenAPI interface for external calls.

This project is a tutorial for quickly building an MCP server, supporting multiple data sources such as Yahoo Finance. It can be set up within 10 minutes, including development environment configuration, dependency installation, and running steps.

An MCP server tool for handling Git conflicts, which can be run directly via npx or integrated into development environments such as Claude Desktop

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to integrate privateGPT as an agent with MCP clients, providing a secure and modular AI application development environment.

The MCP server project is used to connect to the Weaviate vector database, providing search and storage functions, and supporting the configuration of the development environment through the Claude desktop application.

The Flowbite MCP server is an official tool that enables AI assistants to access Flowbite's Tailwind CSS component library and provides an intelligent theme generator for creating custom brand designs in an AI - driven development environment.

This project implements an MCP server that connects Claude and the Linear task management system, providing functions such as getting tickets, creating issues, and adding comments, and supporting integration with multiple development environments.

Cursor Development Environment Information MCP Server, providing comprehensive detection services for system configuration, development tools, and environment information.

ZetaChain CLI is a multi - functional command - line tool for building and interacting with ZetaChain cross - chain applications. It supports multiple blockchain networks such as EVM, Solana, Bitcoin, Sui, and TON, and provides functions such as project scaffolding, local development environment, cross - chain query, and transactions.

This is a project for quickly starting and running the MCP server development environment, providing TypeScript sample code and generation tools.

Digimon Engine is an open - source multi - agent, multi - player game framework focusing on AI - native game and intelligent metaverse development. It supports social and financial AI agents, provides an immersive game experience, and is committed to building an AI agent environment similar to that in 'Westworld'.

A ready-to-use MCP server template that provides the ability to quickly set up a local AI-assisted development environment, with built-in documentation tools for various technologies and an extensible architecture.

Install MCP is a tool that simplifies the installation and management of MCP servers through an AI agent. It supports one - click installation, centralized configuration, and secure key management, and is compatible with multiple development environments.

A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

MCP Mermaid is a tool that dynamically generates Mermaid charts and graphics through AI, supporting multiple export formats and theme configurations, suitable for various development environments and platforms.

A comprehensive development environment integrating the UV package manager, Open Interpreter, and the MCP server, providing an efficient Python development toolchain and modern command-line tools.

React + TypeScript + Vite project template, providing a quick development environment configuration, supporting hot updates and ESLint rules.

Locust-MCP-Server is a server implementation based on the Model Context Protocol (MCP), used to run Locust load tests and supports seamless integration with AI development environments.

The MCP Development Server is a project management tool designed for Claude, providing project context awareness and a Docker code execution environment.

Unity - MCP is a bridge tool that connects large language models (LLMs) and the Unity Editor. By exposing Unity Editor functions to AI clients, it enables an AI - driven automated development process. It supports custom tool extensions and currently provides core functions such as game object management, scene operations, and asset handling. It is mainly suitable for the Unity Editor environment.

The MCP Tailwind Gemini Server is an advanced Tailwind CSS server integrated with Gemini AI, providing intelligent component generation, design optimization, and cross-platform support, suitable for various development environments and frameworks.

MotaWord CLI is a command-line tool for managing and automating translation and localization requirements. It supports multiple configurations and integration scenarios and is particularly suitable for development environments and CI/CD processes.

This project is an MCP server based on Node.js that provides addition of numbers and environment variable reading functions and supports integration with AI development tools (such as Cursor AI).

The QuantConnect MCP Server is a localized model context protocol server designed for quantitative trading, providing complete integration with the QuantConnect platform, including research environment, statistical analysis, portfolio optimization, etc. It supports quantitative strategy development through natural - language interaction with an AI assistant.

A complete tutorial on building the AutoNavi Map MCP Service from scratch, covering the entire process from environment configuration, code development, testing and debugging to online deployment.

The project introduction provides a guide on how to set up a Python development environment, use the uv tool, configure the MCP service of the Claude desktop application, and debug the MCP service.

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.

mocxykit is a middleware for front - end development services, mainly used for proxy requests and MOCK data. It supports visual management and dynamic switching, and integrates functions such as ApiFox synchronization, MCP protocol, and faker data generation. It is suitable for various front - end development environments.

The MCP Python Interpreter is a service that allows LLMs to interact with a Python environment, providing functions such as code execution, file operations, and package management, and supporting multiple development workflows.

The MCP server dedicated to the D-ZERO front-end development environment, integrating Figma data acquisition and coding specification support

The VSCode context MCP server provides VSCode environment access and file operation functions for AI assistants, enabling intelligent interaction between the development environment and AI.