Baidu Maps MCP Server is the first domestic map service compatible with the MCP protocol, offering 10 standardized API interfaces such as geocoding and route planning, supporting quick access via Python and Typescript, and enabling agents to implement map - related functions.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

RhinoMCP is a tool that connects Rhino 3D modeling software with AI agents. It enables two - way interaction through the Model Context Protocol and supports 3D object operations, document inspection, and script execution.

The FHIR MCP Server is a medical data management server based on the FastMCP framework, providing a complete implementation of the Model Context Protocol (MCP) and supporting the interaction between LLM agents and FHIR-compatible backends. It provides standardized interfaces, supports comprehensive CRUD operations on FHIR resources, and implements intelligent document processing and semantic search through a series of tools.

Cursor Rust Tools is an MCP server that provides access to Rust Analyzer, Crate documentation, and Cargo commands for the LLM in Cursor, improving the efficiency of AI agents in Rust development.

Data Agents is a GenAI - based data engineering agent platform that automates data workflows through multi - agent collaboration, supports multiple AI backends and n8n integration, and provides a modern UI interface and Docker deployment solution.

Archon is an intelligent system for autonomously constructing and optimizing AI agents. It demonstrates key principles of modern AI through iterative development, including agent reasoning, domain knowledge integration, and scalable architecture. The current version V4 provides a comprehensive Streamlit interface, supports Docker deployment, and integrates with MCP services for seamless docking of the AI IDE.

Ref MCP is a Model Context Protocol server that provides AI programming tools or agents with access to documentation for APIs, services, libraries, etc. It is a one-stop solution to keep agents updated on documentation in a fast and token-efficient manner.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

The Chronulus MCP service is a prediction agent server designed for Claude AI, supporting installation and configuration in multiple ways, including pip, docker, and uvx, and can be integrated with services such as the file system and network requests.

Agent Knowledge MCP is a comprehensive knowledge management solution that integrates Elasticsearch search, file operations, document validation, and version control functions, providing powerful knowledge management capabilities for AI assistants.

This project is an MCP server that provides WHOIS query services, allowing AI agents to directly query the registration information of domain names, IPs, top-level domains, and autonomous systems without manually operating a browser.

Claude Agents Power is an intelligent MCP server project that can analyze user projects and recommend a perfect team configuration composed of over 100 professional roles. It supports multiple languages, provides various professional role agents in areas such as technology, data, product, marketing, operations, finance, human resources, and executives, and can automatically download and integrate them for use in Claude.

Agent Knowledge MCP is a comprehensive knowledge management solution integrating Elasticsearch search, file operations, document validation, and version control functions, providing powerful knowledge management capabilities for AI assistants.

The ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

The Zhiyan Platform is an open - source platform for agent communication and development, aiming to help AIGC enthusiasts better understand and develop Agents. The platform provides a variety of default Agent functions, such as email sending, information search, weather query, paper search, express delivery query, and document retrieval, and supports users to customize tools. The project supports quick startup and Docker deployment, and plans to add a tool store and automatic build functions in the future.

The Product Requirement Prompt (PRP) is a structured prompt that combines the goal and rationale parts of a traditional Product Requirement Document (PRD) and adds AI key layers (context, implementation details and strategies, verification gates), providing everything needed for an AI coding agent to build a working software vertical slice.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

A memory bank server based on the Model Context Protocol (MCP) for cross - session management of project documents and context, helping AI agents (such as Claude) maintain consistent project knowledge through structured JSON - formatted global and branch - specific memory banks.

Neo N3 Model Context Protocol (MCP) is a standardized interface protocol for the interaction between AI agents and applications and the Neo N3 blockchain. It provides an easy - to - use server implementation, supports direct running via npx, and does not require manual environment configuration. The protocol includes functions such as blockchain information query, wallet management, asset transfer, and smart contract interaction, and additionally provides an HTTP server to expose functions in the form of RESTful APIs.

An unofficial experimental MCP service for HexDocs, based on the search API, providing document search functionality for AI agents such as Claude or Cursor.

An MCP server that provides relevant Ethereum Improvement Proposals (EIP) content for AI agents through semantic search, supporting Markdown document processing and vectorized retrieval.

ipybox is a lightweight Python code execution sandbox based on IPython and Docker, supporting secure code execution in local or remote environments. It is suitable for data analysis and code execution scenarios of AI agents.

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human-like long document reading, analysis, and navigation capabilities, supporting multi-format document processing and intelligent search functionality.

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.

The AI agent project integrates the Google ADK development kit, supports the A2A protocol for communication between agents, and extends functions through the MCP protocol, providing Dockerized deployment and Phoenix monitoring.

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human - like document reading, analysis, and navigation capabilities, supporting multi - format document processing and intelligent search.

OpenAPI-MCP is a Dockerized MCP server that can automatically generate MCP toolkits from Swagger/OpenAPI specification files, enabling AI agents to access any API without additional coding.

DolphinScheduler MCP Server is a server based on FastMCP that exposes DolphinScheduler's REST APIs as a standardized toolset for AI agents, enabling AI - driven process management.

This is an MCP server implementation project based on SearXNG, providing privacy - protected search capabilities for AI agents. The project is deployed through Docker containerization, supports two transport protocols, SSE and Stdio, and can be easily integrated into MCP - compatible clients.

Unibase membase is a decentralized memory layer designed for AI agents, achieving seamless integration with the decentralized storage protocol through the membase mcp server and supporting the upload and download of memory data.

The Next.js documentation MCP server provides AI agents with a complete database of Next.js documentation URLs, supporting intelligent document selection and query analysis

An intelligent research agent tool based on HuggingFace smolagents, providing advanced research functions such as web search and document analysis

An Outline API server tool based on the Model Context Protocol (MCP), supporting AI agents to programmatically manage entities such as documents and collections in the Outline knowledge base platform.

The Apple Health MCP Server is a model context protocol server based on the FastMCP framework, designed for LLM agents to interact with Apple Health data. It provides a standardized interface to index and query health data through Elasticsearch, supports natural - language search, analysis, and statistical functions, includes two major toolkits for XML and Elasticsearch, and supports Docker deployment.

A2AMCP is a real-time collaboration protocol between AI agents based on Redis, which solves the code conflict problem during parallel development of multiple AI agents, provides functions such as file locking, interface sharing, and task coordination, and supports Docker deployment and integration with mainstream AI frameworks.

An MCP server based on Python that uses Pandoc to provide powerful document conversion functions, supports conversion between multiple formats such as Markdown, DOCX, HTML, PDF, etc., and is suitable for integration with AI agents.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

The Godot Docs MCP server is specifically designed for searching the official documentation of the Godot engine, helping AI agents obtain the latest documentation information

An MCP server that provides access to Astro documentation for AI agents, supporting document retrieval and frequently asked questions