我在 Python 中构建了一个多智能体 MCP 服务器框架——这是我的方法

📄 中文摘要

构建多智能体 MCP 服务器的需求日益增加,尤其是在需要多个 AI 代理协作分析、评分和报告的场景中。agent-mcp-framework 是一个开源的 Python 库,旨在解决这一问题。用户可以定义多个智能体,将它们组合成管道,并将整个系统作为 MCP 工具暴露给 Claude、VSCode 或任何 MCP 客户端。该框架的设计灵感来源于构建一个内部工具,该工具能够分析代码库,利用多个专业代理进行自动化代码审查,分别关注质量问题、安全漏洞和架构模式,最终生成综合评分报告。

📄 English Summary

I Built a Framework for Multi-Agent MCP Servers in Python — Here's How

The increasing demand for multi-agent MCP servers arises particularly in scenarios requiring collaboration among multiple AI agents for analysis, scoring, and reporting. The agent-mcp-framework is an open-source Python library designed to address this need. Users can define multiple agents, compose them into pipelines, and expose the entire system as MCP tools that can be accessed by Claude, VSCode, or any MCP client. The framework was inspired by the development of an internal tool aimed at analyzing codebases, employing various specialized agents for automated code reviews that focus on quality issues, security vulnerabilities, and architectural patterns, ultimately generating a comprehensive scored report.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等