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 Pierre Fitness API is a multi-protocol fitness data API that supports securely obtaining fitness data from providers such as Strava and Fitbit. It provides intelligent analysis for AI applications through MCP, A2A, and REST APIs, including enterprise-level API management, real-time analysis, and intelligent analysis of multiple sports types.

This project implements an MCP server and client for building intelligent agent applications based on Retrieval Augmented Generation (RAG). The server provides tools such as entity extraction, query optimization, and relevance checking, and the client demonstrates how to connect to the server and use these tools to enhance the performance of the RAG system.

Adaptive Graph of Thoughts is an intelligent scientific reasoning framework based on the Neo4j graph database, which realizes complex scientific reasoning tasks through graph structure and supports integration with AI applications such as Claude Desktop.

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.

The Hume MCP Server is an AI collaboration tool that allows users to use Octave text-to-speech technology through MCP client applications (such as Claude Desktop, Cursor, etc.) to achieve intelligent speech synthesis and interaction.

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

Implement intelligent applications in sales scenarios through the MCP server, suitable for various AI chat environments

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.

A server that provides web browsing capabilities for AI applications, supporting intelligent content extraction and structured data capture

The Computer Use AI SDK developed by Screenpipe is an open - source project that provides an MCP server and client for controlling computer operations through AI. It supports the native macOS environment, does not require a virtual machine, can directly interact with any application or website, and provides basic functions such as launching applications, reading content, clicking, and entering text, aiming to build automated workflows and intelligent agents.

The Health & Fitness Coach MCP is a comprehensive project that combines AI intelligence with traditional fitness applications. It enables intelligent interaction between AI tools and fitness data through the Model Context Protocol (MCP) and consists of two major components: a web application and an MCP server.

MCP is an open protocol for standardizing the context of AI applications, similar to the USB - C interface in the AI field, enabling seamless connection between LLMs and various data sources/tools. It provides preset integrations, multi - model switching, secure data processing, and a standardized interface, supporting the construction of LLM - based intelligent agents and complex workflows.

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.

The project introduces the advantages of the MCP architecture in AI applications. By comparing single-server and multi-server clients, it shows how to efficiently connect mathematical and weather services and use the LangGraph ReAct agent for intelligent calculations.

The MCP Server for vacuum cleaner robot control launched by Ecovacs is the world's first robot service compatible with the MCP protocol. It provides four core functions: device query, cleaning control, charging control, and working status query, significantly lowering the development threshold of intelligent agent applications.

The ATTOM MCP Server is a comprehensive model context protocol server that provides access to ATTOM real estate data for AI agents and traditional applications. It supports HTTP and stdio transmissions, and features intelligent fallback strategies, automatic retry mechanisms, and strict type safety.

A complete Groq MCP Server project that serves as an intelligent bridge to connect applications with the Groq API, supports multiple AI models (text, audio, vision, batch processing), and has advanced functions such as intelligent routing, rate limiting, and cache optimization.

Karakeep (formerly Hoarder) is a self - hosted all - in - one bookmark application designed for data hoarders. It combines AI technology to automatically obtain link information, intelligent tagging, and OCR functions, and supports multi - platform plugins and mobile applications.