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.

A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.

Documentation for the integration of the Unreal Engine Model Context Protocol (MCP), helping to understand, set up, and use the MCP system.

MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.

The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

AbletonMCP is an integration tool that connects Ableton Live and Claude AI. It enables two - way communication via the Model Context Protocol (MCP), allowing AI to directly control and operate Ableton Live for music creation and production.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

Blender MCP VXAI is a powerful integration tool that allows users to control Blender through natural language to create and modify 3D models, animations, and scenes. It simplifies complex operations and supports real-time export to projects.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.

The Xcode MCP Server is a server based on the Model Context Protocol, providing comprehensive Xcode integration capabilities for AI assistants, including project management, file operations, build testing, CocoaPods and Swift package management, and iOS simulator tools.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

The DeepSeek MCP Server is a model context protocol server designed for the DeepSeek API, supporting seamless integration with MCP-compatible applications such as Claude Desktop, providing anonymous API access and intelligent conversation management.

The official ModelContextProtocol (MCP) server for Magic UI, providing details on implementing a rich set of UI components and effects, and supporting integration with multiple clients.

A Model Context Protocol (MCP) server implemented for Notion integration, providing standardized interfaces to interact with the Notion API and being compatible with MCP clients such as Claude Desktop.

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

The Figma MCP Server is a middleware based on the Model Context Protocol (MCP), providing Figma API integration services for clients such as Claude, and supporting design system management and file operations.

This project is a server - side implementation based on the Model Context Protocol (MCP), providing seamless integration with the Milvus vector database and enabling multiple LLM applications such as Claude Desktop and Cursor to access database functions through a standardized protocol.

The Semgrep MCP Server is a server based on the Model Context Protocol (MCP) for scanning code for security vulnerabilities through Semgrep, supporting multiple integration methods and tools.

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.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

The Razorpay MCP Server is an official payment integration service that provides seamless docking with the Razorpay API through the Model Context Protocol (MCP), supporting multiple payment tools and automated processes.

MCP Zotero is a Model Context Protocol server for Zotero integration, allowing Claude to interact with the user's Zotero library.

A curated list of Model Context Protocol (MCP) servers, optimized for AI assistants like Claude, providing services such as file access, database connection, and API integration to extend AI capabilities.

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

The Logseq MCP Server is a model context protocol server that provides direct integration with Logseq knowledge bases, enabling LLMs to interact programmatically with Logseq graphs.

The project aims to connect RAG applications to open-webui through the MCP protocol to achieve model context interaction, including basic PoC verification, knowledge base integration, and client docking.

The IBM i MCP server is a server based on the Model Context Protocol, providing SQL tools, monitoring, and automation functions for the IBM i system, supporting multiple client integrations and containerized deployment

MobSF MCP is a Node.js-based implementation of the Model Context Protocol that provides a standardized interface for the Mobile Security Framework (MobSF) and supports integration with automated workflows and third-party tools.

awesome - mcp is a project that collects Model Context Protocol (MCP) servers/clients, aiming to simplify the integration of large language models with external systems through a standardized protocol.

This is a Label Studio integration server based on the Model Context Protocol, which realizes programmatic interaction with Label Studio instances through the label - studio - sdk, supporting functions such as project management, task management, and prediction integration.

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.

The DeepWriter MCP Server is a server based on the Model Context Protocol standard, used to interact with the DeepWriter API, providing functions such as project management and content generation, and supporting integration with MCP - compatible AI assistants like Claude.

The MCP Browser Proxy is a powerful integration of the Model Context Protocol, providing autonomous browser automation capabilities for Claude Desktop and supporting functions such as navigation, screenshot, DOM interaction, JavaScript execution, and API requests.

A TypeScript - based MCP server that provides integration with the ERPNext/Frappe API, enabling AI assistants to interact with ERPNext data and functions through the model context protocol.

An MCP server implementation for the Deepseek R1 language model based on Node.js, supporting an 8192-token context window, providing stable Claude Desktop integration and model parameter configuration.

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.