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Project Overview

@WillChangeThisLater

リポジトリ

Project Overview について

Use MCP servers with OpenAI Agents

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

WillChangeThisLater

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "easy-mcp": {
      "command": "python",
      "args": [
        "agent.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Project Overview?

Project Overview combines MCP (Model Context Protocol) servers with OpenAI agents, enabling automated research and file system tasks. It is intended for developers who want to run configurable, multi-server AI agents from the command line.

How to use Project Overview?

Set up the environment with the provided setup.sh script (Python 3.13 virtual environment + dependencies), install required external tools (Lynx for web search, Docker for puppeteer/GitHub, Node.js for file system server), configure servers in servers.yaml, then run python agent.py with optional --servers flags (e.g., python agent.py --servers fs lynx) or --debug for testing setup.

Key features of Project Overview

  • Integrates multiple MCP servers (fs, lynx, puppeteer, github)
  • Command-line agent with configurable server selection
  • Debug mode to verify server configuration
  • Supports custom MCP servers in mcp-servers directory
  • Environment setup via automated shell script
  • Server configuration via YAML file

Use cases of Project Overview

  • Automated web research: pipe a research prompt into the lynx server
  • Local file system browsing with the fs server
  • GitHub repository interactions via the github server
  • Chrome control through the puppeteer server
  • Multi-server workflows where an agent selects appropriate tools

FAQ from Project Overview

What external dependencies are required?

Lynx (for the lynx server), Docker (for puppeteer and github servers), and Node.js (for the fs server).

How do I configure which servers the agent can use?

Edit servers.yaml with the server's name, description, command/arguments, and environment variables. Then select servers at runtime with the --servers flag.

Can I run only specific servers?

Yes, use python agent.py --servers <server1> <server2>. This can improve performance by reducing the chance the agent picks the wrong tool.

How do I test if servers are set up correctly?

Use the --debug flag to initialize servers without executing the agent: python agent.py --debug.

Can I create my own MCP server?

Yes, you can add custom servers in the mcp-servers directory.

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