Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.

assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.

Tripo MCP Server is an interface project that connects AI assistants and Tripo AI, supporting the generation of 3D assets through natural language and importing them into Blender.

MCP Notes is an intelligent note - taking application based on the MCP protocol, supporting AI - driven note management and web interface operations, and using DynamoDB to store data.

automcp is a tool that can easily convert existing AI agent frameworks (such as CrewAI, LangGraph, etc.) into MCP servers to achieve standardized interface access. It supports the adaptation and deployment of multiple frameworks and provides functions for quick startup and configuration.

MCPEngine is a production-grade implementation of the Model Context Protocol (MCP), providing standardized interfaces for large language models (LLMs). It supports functions such as OAuth authentication, resource management, and tool invocation, aiming to become the 'REST of the LLM world' framework.

An implementation of the Model Context Protocol (MCP) in Java and the Spring framework, providing a standardized interface for interacting with AI models and supporting synchronous/asynchronous communication modes.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

Office-Word-MCP-Server is a server based on the Model Context Protocol that provides a standard interface for AI assistants to create, read, and operate Microsoft Word documents, supporting rich document editing functions.

IDA Pro MCP Server is a plugin that enables remote interaction between AI assistants and IDA Pro through the Model Context Protocol interface, supporting binary analysis tasks such as disassembly, pseudocode retrieval, and function query.

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 YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

The MCP Gateway is an advanced AI infrastructure middleware solution that acts as a proxy gateway for model context protocol (MCP) servers, providing unified interfaces, sensitive information filtering, and lifecycle management functions.

Tripo MCP Server is an interface tool that connects AI assistants with Tripo AI, supporting the generation of 3D assets from natural language and importing them into Blender.

The Supabase MCP server is a tool based on the Model Context Protocol (MCP) that provides a standard interface for AI assistants to interact with Supabase databases, supporting database operations such as create, read, update, and delete.

The MCP Terminal Server is a secure command-line interface service that provides terminal interaction capabilities for AI models while ensuring system security.

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.

An MCP protocol server implemented for the Listmonk email system, providing AI models with the ability to manage mailing lists, subscribers, and newsletters through a standardized interface.

An MCP server for interacting with macOS Apple calendars, providing a standardized interface for AI models to access and manipulate calendar data.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

An implementation of the MCP server for Magento 2 that enables AI assistants to interact with Magento stores through standardized interfaces, providing REST API integration, secure authentication, and tools for common operations.

ngspice-mcp is an MCP protocol-based server that provides a standardized interface for AI language models to access ngspice circuit simulation capabilities, supporting operations such as circuit loading, simulation execution, and data acquisition.

A Minecraft model control protocol server based on Mineflayer, providing a standardized JSON - RPC interface for AI agents to control Minecraft robots.

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.

Omni-LPR is a self-hosted server with multiple interfaces (REST and MCP) that provides automatic license plate recognition (ALPR) functions and can be used as an independent microservice or a toolbox for AI agents.

The MCP server of TiDB AI, providing a Q&A interface for Cursor

The Illumio MCP server is a service that provides an interface for interacting with the Illumio Policy Compute Engine (PCE), supporting the management of workloads, labels, and traffic analysis through conversational AI.

SearchAPI-MCP-Server is a search API server based on the MCP protocol, providing a standardized access interface to services such as Google Search, Maps, Flights, and Hotels, serving as a bridge between AI assistants and search services.

Yokan Board MCP is a server based on Model Context Protocol that provides a tool interface for AI agents to interact with Yokan Kanban API, supporting comprehensive management of Kanban, columns, and tasks.

AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

The YouTube MCP Server is a service that implements the Model Context Protocol (MCP). It provides a standardized interface for AI language models to interact with YouTube content, supporting functions such as video information retrieval, subtitle management, channel and playlist operations, etc.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

This project implements a Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Substack newsletters, articles, and authors through a standardized interface. It is based on the Substack API library and provides functions such as getting article content, searching for newsletters, and querying author information.

This project is a Python - based implementation of the MCP (Model Context Protocol) server and client, aiming to provide standardized interfaces for AI models, unify the tool call formats of different large - model vendors, and integrate document search functions for multiple AI frameworks.

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.

LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

This is a project that converts the Python version of the MySQL MCP server to a Java implementation, providing a secure MySQL database interaction interface that allows AI assistants to access database resources in a controlled manner.

This is a TypeScript-based File System MCP Server that provides a secure and reliable local file system operation interface for AI agents, including functions such as reading, writing, updating, and managing files and directories.