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.

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.

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.

A webpage summary agent tool based on mcp-agent and Qwen, which can run in the Windows environment. It can be used by creating a virtual environment with uv and configuring the API key.

Wuying AgentBay is a cloud infrastructure designed by Alibaba Cloud for AI Agents, providing a one-click configuration tool and an execution environment, supporting fast integration and serverless cloud operation.

The Agentic MCP server is an extension of the standard MCP server, with autonomous decision-making, state management, and dynamic interaction capabilities, supporting complex workflows and intelligent data processing.

The MCP Agent Server is an open-source AI employee brain designed to work in conjunction with workflow engines such as n8n. It supports natural language interfaces, persistent memory, and feedback loops, emphasizing the AI employee metaphor and vertical solutions.

This is a project created based on the Next.js framework, initialized with create-next-app, supporting multiple package managers to run the development server, with built-in font optimization features, and recommended to be deployed on the Vercel platform.

A simple implementation of the model context protocol server, including a dummy tool.

An MCP server supporting Agent8 SDK development, providing various game development tools and resource search functions

An MCP (Model Context Protocol) server and client project based on FastMCP and LangChain, including installation dependencies and operation guides.

Agentis MCP is a flexible multi - agent framework for building powerful AI agents, supporting MCP server connection, and providing functions such as tool access, resource retrieval, and multi - agent workflow orchestration.

Project exploring MCP servers and AI agents

A web - based dialogue agent based on multiple large language models (such as Google Gemini, Anthropic Claude, etc.), which implements multi - step tool execution through the Vercel AI SDK and can interact with external services (such as WhatsApp, GitHub, etc.).

mcp - agent is a lightweight AI agent framework based on the Model Context Protocol (MCP), which supports building efficient agent applications through a simple and composable model. It integrates the lifecycle management of the MCP server and implements multiple workflow models, such as parallel processing, routing, evaluation optimization, etc., and is suitable for various AI application scenarios such as multi - agent collaboration and human - machine interaction.