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Project Overview MCP Server

@WillChangeThisLater

Repository

Basic information

Category

Other

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stdio

Author

WillChangeThisLater

About Project Overview MCP Server

Use MCP servers with OpenAI Agents

Project Overview MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Project Overview MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

What external dependencies are required?

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

2

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.

3

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.

4

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`.

5

Can I create my own MCP server?

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

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