mcp-agent

About mcp-agent

MCP Agent Orchestrator The MCP Agent Orchestrator is a professional-grade Python implementation of the Model Context Protocol (MCP). It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a standardized communication layer. The project utilizes for server-side tool definitions and an asynchronous client-side bridge to OpenAI-compatible interfaces. System Architecture The project follows a decoupled client-server architecture: MCP Client: Acts as the orchestrator.

graph-rag llm mcp mcp-server python

Quick Facts

Stars	81
Forks	17
Language	Python
Category	MCP Server
Quality Score	71.7632007424186/100
Last Updated	2026-07-04
Created	2025-02-24
Platforms	cli, mcp, python
Est. Tokens	~14k

Compatible Skills

These tools work well together with mcp-agent for enhanced workflows:

BRAD-Video — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
arag — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
CodeRAG — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
gamewiki — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is mcp-agent?

mcp-agent is A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data. It is categorized as a MCP Server with 81 GitHub stars.

What programming language is mcp-agent written in?

mcp-agent is primarily written in Python. It covers topics such as graph-rag, llm, mcp.

How do I install or use mcp-agent?

You can find installation instructions and usage details in the mcp-agent GitHub repository at github.com/Haohao-end/mcp-agent. The project has 81 stars and 17 forks, indicating an active community.

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