Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.

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.

PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.

Desktop Commander MCP is an AI assistant tool that enables the Claude desktop application to execute terminal commands and manage the file system. It supports functions such as code search, editing, process management, and remote file reading.

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.

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.

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.

LYRAIOS is a multi-AI agent operating system based on the Model Context Protocol (MCP), aiming to extend AI application functions by connecting financial networks and public blockchain chains, providing services such as blockchain operations, fintech analysis, and educational learning.

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.

The Odoo MCP Server is a middleware that integrates with the Odoo ERP system, allowing AI assistants to access and operate Odoo data and functions through the Model Context Protocol.

BioMCP is an open - source biomedical AI toolkit that provides professional biomedical knowledge support for AI systems by connecting to authoritative data sources.

CLEO is a portable brain and memory system designed for AI software development, providing project memory, verifiable sources, and agent - secure orchestration across repositories, model providers, and coding tools.

An MCP protocol server that connects AI tools with the CheerLights IoT lighting system

Implementation of Novu's MCP server for AI agents to interact with the notification system

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.

An Ubuntu MCP server based on a security - first model, providing controlled system operation access for AI assistants, including multi - layer security protection, audit logs, and resource limits.

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

A localized AI financial management system developed based on Rust, supporting natural language input, intelligent analysis, tax calculation, and debt tracking. All data is stored in the local SQLite database.

AgentMCP is a general-purpose AI agent collaboration system that connects any AI agent to the global collaboration network through a simple decorator, enabling instant cross-framework and cross-protocol collaboration.

The Allora MCP Server is an implementation based on the Model Context Protocol (MCP) that provides the function of obtaining machine learning inference data from the Allora network, enabling AI systems to seamlessly access Allora prediction market data.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect an AI assistant with the GraphQL API of the Linear project management system, supporting functions such as issue tracking and project management.

CortexGraph is an MCP server that provides a human-like memory system for AI assistants. It realizes the natural decay and reinforcement use of memories by simulating the Ebbinghaus forgetting curve, including short-term memory storage, long-term memory archiving, and knowledge graph functions.

An MCP server that connects AI assistants with the LedFX lighting control system, controls LED lighting effects, manages devices, creates scenes and color palettes through natural language, and supports AI-driven scene recommendations and function explanations.

A Solana wallet intelligent monitoring and trading system based on the MCP protocol, enabling automated operations through natural language interaction with AI.

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

Crawl4AI MCP Server is an intelligent information acquisition server based on the MCP protocol, which provides multi - engine search and optimized web content extraction functions for AI systems, and converts web pages into a format suitable for LLM processing.

LegalContext is an open - source MCP server that securely connects the Clio document management system with the Claude AI assistant, enabling local legal document processing and retrieval.

A gravitational wave signal detection and optimization system based on the MCP protocol, focusing on the analysis of the GW150914 event and achieving efficient signal detection through AI intelligent exploration of the parameter space.

The multi-cluster MCP server provides a gateway for generative AI systems to interact with multiple Kubernetes clusters, supporting resource operations, cluster management, and monitoring.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

MCP Agile Flow is an AI - assisted agile development workflow management system based on FastMCP, providing RESTful APIs and a resource - prioritized architecture, supporting natural language command processing and multi - IDE integration.

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

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.

Frida MCP is an MCP protocol implementation based on the Frida dynamic detection toolkit, providing AI systems with the ability to interact with mobile and desktop applications.

An AI voice call system based on the MCP protocol that uses VoIP technology to enable AI assistants like Claude to automatically make calls and conduct intelligent conversations. It supports multiple SIP protocols and audio codecs.

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.

The Windows Command Line MCP Server is a secure intermediary service that allows AI models to interact with the Windows system under strict security control, including functions such as executing commands, creating projects, and obtaining system information.

An AI agent server based on the Model Context Protocol, providing system prompt and tool management functions

AutoSpectra is an all-in-one AI agent automation platform that provides an integrated solution for browser automation, API testing, debugging tools, etc., and is compatible with multiple AI model systems.

The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.