Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

The AI Infrastructure Agent is an intelligent system that allows users to manage AWS cloud resources through natural language commands. It uses AI models to convert user requirements into executable AWS operations and provides web dashboards, state management, and security protection functions.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

An MCP server that provides any AI model with the ability to intelligently search for Claude Agent Skills through vector embeddings and semantic similarity, enabling progressive skill discovery and cross-platform skill sharing.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

Mianshiya MCP Server is an interview question search service compatible with the MCP protocol. It is integrated through the Java SDK, supports multiple intelligent agent assistants to quickly access, and provides question retrieval functions.

A Reddit interaction server specifically designed for AI agents, supporting content reading, creation, and sub - forum management, following the MCP protocol and integrating advanced functions such as rule compliance and intelligent replies.

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.

A high-performance MCP server implemented in Go language, providing AI agents and applications with the ability to query and access the Redfish API through natural language, enabling intelligent management and monitoring of data center infrastructure.

Snowfort Circuit MCP is a comprehensive Model Context Protocol server suite that provides web and Electron desktop application automation capabilities for AI coding agents, with features such as AI - optimized snapshots, intelligent screenshot compression, and multi - session management.

A local multi - expert intelligent agent scheduling system that supports automatic generation of experts, tool calls, and knowledge base expansion, used for a graduation project.

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.

BuildAutomata Memory is a persistent memory system based on the MCP protocol, providing semantic search and versioned memory storage across sessions for AI agents, supporting intelligent classification, timeline tracing, and multi-tool synchronization

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.

falcon-mcp is a Model Context Protocol server that connects AI agents to the CrowdStrike Falcon platform, providing programmatic access to core security capabilities such as security detections, events, and behaviors, and supporting intelligent security analysis and automated workflows.

A configurable MCP server SSH client with an intelligent security agent function that can detect and block the execution of unsafe commands in SSH connections.

Integrate LiveKit intelligent agents with Home Assistant MCP services to achieve smart home control through voice

OpenManus is an open-source project that allows users to realize various ideas without an invitation code. It was built by members of the MetaGPT team in 3 hours. It provides a simple implementation that allows users to create their own intelligent agents and supports multiple languages and configurations. The project welcomes suggestions, contributions, and feedback. Future plans include better planning, real-time demonstrations, playback functions, RL fine-tuning models, and comprehensive benchmarking.

The Vaali MCP server is an open - source project that demonstrates advanced AI agent capabilities. Through interactive parameter collection and workflow automation, it implements two modes: official MCP inquiry and intelligent parameter guidance, and supports cloud deployment and local integration.

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 TypeScript version of MCP Agent is a TypeScript-based intelligent context-aware agent framework that provides features such as a modular architecture, advanced workflow management, a powerful logging system, and a flexible executor. It is a TypeScript port of the original MCP Agent.

An MCP server that provides intelligent text summarization functions for AI agents, optimizing context window management and improving AI work efficiency

quiet - shell is an MCP server that reduces the context consumption of AI agents by intelligently filtering shell command output, focusing on displaying errors, failures, and summary information, and improving development efficiency.

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.

The Yushan Data API service provides enterprise data query functions. Through a server compatible with the MCP protocol, it realizes multiple enterprise information queries, including basic information, overseas investments, change records, etc., and supports quick access to intelligent agent assistants.

MoLing-MineCraft is an AI agent MCP server for the Minecraft game, enabling intelligent building and control through natural language interaction.

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.

AMOCA is an intelligent agent system based on the Solana blockchain, providing functions such as wallet management, transaction tools, and on-chain data query, and integrating Helius API and Jupiter API services.

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.

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.

AgentCraft is an enterprise-level AI agent framework that provides secure and scalable intelligent agent services.

Fetch Browser is a powerful headless browser MCP server designed for AI agents, which can obtain web page content and perform Google searches without API keys. It supports multiple content format conversions and intelligent error handling.

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

Distri is a Rust-based composable AI agent framework that supports building and combining intelligent agent capabilities through the MCP protocol, offering modular design and high efficiency.

LumenX-MCP is an open-source enterprise-level intelligent server for legal expenditure. It provides queryable legal and financial data analysis by unifying multi-source data (such as e-billing platforms and ERP systems), and supports AI agents and extended functions.

An intelligent task management system based on the Model Context Protocol (MCP), providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, dependency management, verification, and memory.

An intelligent text summarization MCP server designed for AI workflows, providing intelligent summarization functions for command output, file content, and directory structure, and optimizing the context window management of AI agents.

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

An MCP server based on the crawl4ai library, providing web page crawling and intelligent content extraction functions, supporting AI agents to interact with web pages through natural language instructions.