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.

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.

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.

Opik is an open-source LLM evaluation framework that supports tracking, evaluating, and monitoring LLM applications, helping developers build more efficient and cost-effective LLM systems.

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.

The Stripe Agent Toolkit is a toolkit that supports the integration of multiple AI agent frameworks (such as OpenAI, LangChain, CrewAI, etc.) with the Stripe API. It provides support for Python and TypeScript, simplifying payment-related operations.

Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

MCP is an open-source protocol for standardizing LLM interactions, providing a unified framework for connecting data sources, obtaining context, using tools, and executing standard prompts. Project examples demonstrate how to build MCP servers and clients to implement knowledge base chatbot functionality.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.

Vibe Marketing MCP is an open - source marketing content generation server that integrates the best social media hooks, copywriting frameworks, and KOL archetypes to help AI clients generate more human - friendly and platform - optimized marketing content.

MUXI.ai is an open-source framework for multi-AI-agent systems, offering persistent memory, standardized communication protocols, and thought chain tracking. It supports multiple interface integrations and aims to provide a modular and scalable platform for developers to build advanced AI applications.

Paperclip is a Model Context Protocol (MCP) server that supports searching for and retrieving research papers from Arxiv, the Open Science Framework (OSF) API, and OpenAlex.

DeRisk is an AI-native risk intelligent management system that provides comprehensive and in-depth application system risk protection 24/7. It is based on a modular framework developed through open-source community collaboration and focuses on the ability derivation in the risk and data fields.

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'.

The Tenzir MCP Server is a service based on the Model Context Protocol, used to connect AI assistants with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF).

A minimal server/client application implementation based on the Model Context Protocol (MCP) and Azure OpenAI, including the FastMCP server, Playwright testing framework, and MCP-LLM Bridge conversion function.

This project is a stdio server based on the Model Context Protocol (MCP), used to forward prompts to OpenAI's ChatGPT (GPT-4o), supporting advanced summarization, analysis, and reasoning functions, suitable for assistant integration in the LangGraph framework.

MCPML is a Python framework for building servers compliant with the Model Context Protocol (MCP), supporting CLI tools and OpenAI agent functions, and providing features such as dynamic loading and structured output.

An MCP server framework supporting multiple communication protocols (standard I/O, SSE, OpenAPI), providing Docker deployment methods and configuration examples.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

This is a curated list of Awesome Model Context Protocol (MCP) Servers, which contains detailed classifications and descriptions of various MCP servers, frameworks, tools, and resources. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. The list covers MCP server implementations in multiple fields, including browser automation, cloud platforms, databases, developer tools, fintech, gaming, and security.

An intelligent chatbot based on the OpenAI Agents framework, supporting custom tool extensions and web interaction.

A multi-functional TTS server based on the MCP framework that integrates the Kokoro local TTS and the OpenAI cloud TTS engine, supporting real-time audio streaming, voice customization, and playback control.

A Swagger/OpenAPI document parsing and code generation server based on the MCP protocol, supporting the generation of TypeScript types and API client code for multiple frameworks, with special optimization for handling large documents.

The MCP protocol enables standardized interaction between LLMs and the openGauss database, and builds an AI Agent application framework

AutoGPT is an open - source AI agent toolkit that provides a modular and extensible framework, supporting users to build, test, and monitor AI agents. The project includes the Forge Innovation Lab, a Benchmark testing environment, and a user - friendly front - end interface, and uses the Agent Protocol for standardized communication. The community is active, regularly hosting hackathons and other activities to drive innovation.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

This project demonstrates how to integrate a Model Context Protocol (MCP) server with multiple LLM agent frameworks, including Google ADK, LangGraph, OpenAI Agents, and Pydantic - AI. It connects different LLM providers through a standardized interface and uses Logfire for tracking and visualization.

A local time service server based on Python, providing time - getting and browser - opening functions through the MCP protocol, built using the FastMCP framework and the uv tool.

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.

This project provides a series of OpenMCP services contributed by the community, supporting collaboration with any MCP-compatible LLM application or framework. It includes quick start examples, a GitHub PR review tool, and a text-to-podcast video generation tool.

AutoGPT is an open - source AI agent framework designed to enable everyone to easily build and use AI agents. The project provides the Forge toolchain to simplify the development process, including benchmark testing, user interface, and CLI tools. It supports compatibility through the Agent Protocol standard and has an arena leaderboard to encourage developers to optimize agent performance.

AnyPixel.js is an open - source hardware and software library for creating large - scale, non - traditional, interactive display devices. It provides a complete hardware design, firmware, back - end, and front - end framework, supporting developers to build web - based interactive pixel display systems.

The OpenAPITools SDK is a Python toolkit that provides developers with a unified interface to manage and execute tools across multiple AI API providers, supporting Anthropic Claude, OpenAI GPT, and the LangChain framework, and two usage modes: local and API.

Open-MCP-Server is an AI business data integration service framework that supports multi - protocol access, simplifying the connection between enterprise systems and AI platforms.

The MCP Yahoo Finance Server is a tool based on the Yahoo Finance API for obtaining real-time stock data, company information, and historical price data. It integrates the Multi-Client Protocol (MCP) framework to provide seamless communication between clients and the server, and includes a web UI based on FastAPI and DaisyUI, supporting user interaction through an intuitive interface. The project also integrates Azure OpenAI for natural language query processing.

A Kusto query chat application based on Azure OpenAI, implementing client/server interaction through the MCP framework.

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.