Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

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.

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.

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.

PageLens is an MCP server that provides visual feedback of front - end applications for AI programming assistants. It automatically takes screenshots, clicks, checks console errors, and visual differences through a headless browser, eliminating the manual loop in development.

This is an open - source project that includes over 35 pre - built MCP connectors for integrating SaaS tools into AI applications, supporting local development and type - safe configuration.

Cursor MCP is a tool that enables seamless integration of Claude AI with desktop applications. It bridges AI capabilities with development workflows through the Cursor IDE, providing real-time programming assistance and context-aware code suggestions.

The Electron MCP Server is a server based on the Model Context Protocol (MCP), providing comprehensive automation, debugging, and observability capabilities for Electron applications. It implements AI-driven automation through the integration of the Chrome DevTools protocol, supporting real-time UI interactions, visual debugging, deep inspection, and development observability, and can work without modifying the target application's code.

The UI5 MCP Server is a tool based on the Model Context Protocol, designed for UI5 application development. It provides functions such as project creation, code analysis, API documentation query, and development guidance, aiming to enhance the experience of developers when using AI - assisted tools.

MCP4Go is a Model Context Protocol (MCP) library implemented in Go language, aiming to simplify the development of AI applications and provide a complete protocol implementation and high-level abstraction.

The Screeny MCP Server is a privacy-first screenshot service designed specifically for macOS, allowing AI agents to securely capture screenshots of pre-approved application windows and providing a visual context for development and debugging tasks.

The Symfony AI Mate component is a development tool that provides an MCP server for AI assistants to interact with PHP applications (including the Symfony framework) and is only used in the development environment.

Swiss MCP is an AI-driven multi-step task coordination center that can integrate various AI tools to complete complex tasks, such as content creation and full-stack application development.

iOS development MCP server, providing iOS simulator control and Swift/Xcode development tools, including 23 tools and 11 workflow skills, supporting Claude AI to autonomously control the simulator, test applications, and debug issues.

This is a curated list of resources for the Model Context Protocol (MCP) ecosystem, covering multiple categories such as official resources, development tools, MCP servers, web integrations, databases, blockchains, AI integrations, voice, mobile applications, development environments, security testing, productivity tools, and system tools.

Databutton launches an AI - driven MCP server building tool that supports React and Python application development

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.

A tool that enables seamless integration of Claude AI with Cursor IDE desktop applications, enhancing the AI-assisted development workflow through the MCP protocol.

Solon-AI is a Java AI application development framework for all scenarios, supporting multiple AI capabilities and can be embedded in various frameworks for use.

A cross - platform desktop application developed for the omni AI MCP Server, supporting Android and iOS development

AppDog is a project that can easily generate MCP servers from OpenAPI specifications, aiming to simplify the development process and help developers quickly build applications.

This project tests the capabilities of LLM in information retrieval, API integration (such as IGN's APICARTO and GéoPlateforme services), and code generation through ChatGPT, including functions such as geocoding and postal code query, and explores the application of AI in technical evaluation and development assistance.

The E2B Cookbook is a project containing various example codes and guides for development using the E2B SDK. It covers a variety of scenarios from basic introduction to advanced applications, including integration with different LLM providers, integration of AI frameworks, and practical application cases.

The ARC MCP Server is an innovative platform that provides tools such as document assistance, API integration, project generation, and deployment support through the seamless integration of AI models and the ARC enterprise application framework, accelerating the development of enterprise-level cloud-native applications.

An SSH-based Odoo.sh MCP server that provides the ability to build custom Odoo applications through an AI assistant using Git workflow tools, supporting a complete development process including branch management, build triggering, file operations, and database access.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

Bilt MCP Server is a tool designed specifically for AI agents, providing 8 powerful tools through the Model Context Protocol, enabling AI to independently create, build, and deploy production-ready mobile applications, supporting full application development lifecycle management.

This project demonstrates how to integrate Claude AI into the development process through the MCP protocol, including an MCP server and a to-do application demonstration to achieve AI-assisted software development.

A collection of tools for adding AI capabilities to Nuxt applications, including a Nuxt module and development tools.

Wordware MCP is a server for running Wordware AI applications locally. It supports integrating Wordware's AI capabilities into local development environments via APIs, simplifying the testing and development process.

An application based on TypeScript that integrates AI service functions such as OpenAI and HubSpot, including development environment configuration, API integration, and front - end and back - end development capabilities.

The MCP startup project is an AI application development framework that includes a Python server - side and a TypeScript client - side, supporting the interaction between AI models and external tools/APIs, and providing functions such as document search and conversation management.

Pro MCP is a community-driven directory of Model Context Protocol (MCP) servers, aiming to provide a comprehensive list of MCP servers for developers and AI enthusiasts and promote the development of intelligent applications.

This is an MCP server project aimed at helping developers quickly integrate a self - hosted Payram payment stack. It provides a series of tools to MCP clients such as GitHub Copilot to achieve one - click evaluation of existing codebases, generation of multi - language code snippets, construction of new applications, access to localized documentation, and verification of the connection with the Payram server, thereby accelerating the development process.

An MCP server that combines the Midnight Network blockchain development tools and Next.js development tools for building decentralized applications, supporting multiple AI assistants

An example project that includes various AI agents and RAG technologies, covering Gemini applications, MCP services, Flutter applications, and Vertex AI integration, providing AI development examples from basic to advanced.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.

AppsAI MCP Server is a platform that connects AI development tools with AppsAI projects, supporting the construction and deployment of full-stack applications through AI agents, and providing more than 150 tools for project management, front-end and back-end development, deployment, and market publishing.

This project provides code examples for developing and running an MCP server on Oracle OCI, including Python development, AI agent integration, semantic search, SelectAI integration, and connection with AI assistants such as ChatGPT, to help build enterprise - level AI applications.