Project Overview MCP Server

@WillChangeThisLater

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其他

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WillChangeThisLater

关于 Project Overview MCP Server

Use MCP servers with OpenAI Agents

Project Overview MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Project Overview MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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