mcp-golang is an unofficial Go implementation of the Model Context Protocol library, supporting the rapid construction of MCP servers and clients, and providing features such as type safety, low code volume, modularity, and two-way communication.

Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

A modular computing platform server that provides SEC EDGAR data access and interaction for AI agents.

An implementation of a local proxy server and client based on the MCP platform, integrating multiple AI tool functions such as weather query, Google search, camera control, image generation, and intelligent dialogue, supporting modular expansion and high-performance concurrent processing.

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.

A Nix-based Model Control Protocol (MCP) server configuration framework that provides modular configuration and pre-built server packages, supporting secure deployments and reproducible builds.

ToolBox is an AI-driven automated tool development platform that provides modular architecture, AI-assisted tool generation, enterprise-level service integration, and real-time update functions.

A modular MCP server that provides comprehensive security vulnerability intelligence tools, including CVE queries, EPSS scoring, CVSS calculation, vulnerability detection, and Python package security checks.

A model context protocol server implemented in C++, featuring a plugin-based architecture, supporting cross-platform operation, and providing modular expansion capabilities.

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to integrate privateGPT as an agent with MCP clients, providing a secure and modular AI application development environment.

MUXI.ai is an open-source framework for multi-AI-agent systems, offering persistent memory, standardized communication protocols, and thought chain tracking. It supports multiple interface integrations and aims to provide a modular and scalable platform for developers to build advanced AI applications.

RuleGo-Server is a lightweight, high-performance, modular automated workflow platform based on RuleGo. It supports visual orchestration, hot updates, AI support, and multi-tenancy, and is suitable for various scenarios such as iPaaS, API orchestration, and IoT rule engines.

The MCP Agent Tool Adapter project enables modular tool invocation through the MCP protocol, supports two agent frameworks, Google ADK and LangGraph, and provides dynamic inference and tool planning capabilities.

A modular workflow system for automatically updating Python dependency manager documentation weekly

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.

DeRisk is an AI-native risk intelligent management system that provides comprehensive and in-depth application system risk protection 24/7. It is based on a modular framework developed through open-source community collaboration and focuses on the ability derivation in the risk and data fields.

A modular application demonstration based on FastMCP, integrating the MCP server, FastAPI interface, and LLM Agent functionality. It uses a modular design, supports dual operating modes, and LLM integration.

A production-level MCP server implementation that integrates Torob product search and Instagram content analysis functions. It is built on high-performance FastMCP, supports the full MCP protocol specification, and features dual-mode operation and modular design.

A modular server implementing the Model Context Protocol standard, providing integration services for multiple tools.

Claude MCP is a server tool system that enhances Claude's code generation capabilities. By providing the latest documentation and API access, it ensures that the generated code follows the latest best practices. The system supports local or shared deployment, includes tools such as document scraping, and can expand its functions through modularization.

The MCP Toolkit is a modular server implementation for building high-precision vertical AI agents, providing support for 123 tools, significantly reducing the amount of code, and simplifying complex workflows.

The Trello MCP Server is a server based on the Model Context Protocol, providing tools for interacting with the Trello API, including a complete Trello function interface, modular architecture, and type - safety support.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

A modern iOS automation server based on FastMCP 2.0 and clean architecture, featuring modular design, cross - platform readiness, and cloud deployment capabilities.

Medusa's MCP server for integrating AI and automation tools

SolidPilot is an open-source SolidWorks AI assistant that uses a modular architecture to interact with local language models (such as Claude) through the MCP protocol, including technical components like the Python layer, C# adapter layer, and COM bridge.

A modular MCP server implementation based on LangGraph, with a clear architectural design for easy maintenance and expansion.

The GitCode MCP Go server is a standard MCP interface encapsulation of the GitCode API implemented in Go language. It provides full support for the GitCode API functions, is implemented using the standard MCP protocol, supports multiple transmission methods, and has the characteristics of being lightweight, highly concurrent, and modular.

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.

This is a modular Outlook MCP server project that integrates Claude with Outlook through the Microsoft Graph API, providing functions such as authentication and email management.

A modular server that implements the Model Context Protocol standard, providing integration of multiple tools and unified gateway access.

MCP Server Meraki is a standardized interface project for interacting with Meraki infrastructure through the MCP protocol, providing data validation, error handling, and a modular architecture.

An MCP server project based on C# and Firebird, supporting dynamic queries and custom tools, and implementing modular command processing through the MCP platform.

MCP - ChatBot is a chatbot application based on the Modular Capability Protocol (MCP). It integrates weather services and the GPT - 4o model through a containerized architecture to provide natural language interaction capabilities.

Minion Works is a modular AI agent framework that connects to browsers to autonomously perform complex tasks, suitable for developers, researchers, and creative builders.

A Node.js-based custom prompt server for the Claude AI model, supporting modular classification management and chained prompt execution.

The openwrt-mcp-server is a lightweight and scalable MCP protocol server designed for OpenWrt embedded devices. It supports both MQTT and HTTP protocols, enabling two-way JSON-RPC communication between devices and AI systems, with security authentication and a modular architecture.

MCP Server MAS Sequential Thinking is a server environment project focused on enhancing the sequential thinking process, providing modular design, scalability, and multi-language support, suitable for education, research, and application development.

The Palo Alto Networks MCP Server Suite is a modular solution that provides a unified API interface for managing firewalls and services, including five major functional modules: core service, policy management, configuration management, object management, and device management.

An AI-driven automated tool development platform that provides modular architecture, AI-assisted development, enterprise-level service integration, and real-time update functions.