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11111111111 MCP Server

@mannaandpoem

Basic information

Category

Other

Transports

stdio

Author

mannaandpoem

Submitted by

烁 林

About 11111111111 MCP Server

No overview available yet

11111111111 MCP Server config

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

{
  "mcpServers": {
    "OpenManus": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.12"
      ]
    }
  }
}

11111111111 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 11111111111?

11111111111 is an open-source framework for building general AI agents, developed by contributors from MetaGPT. It allows users to run agent tasks via terminal without needing an invite code, supporting multiple LLM backends.

How to use 11111111111?

Install via conda or the recommended uv tool, configure API keys in config/config.toml, and run the agent with python main.py. Additional commands include python run_mcp.py for the MCP tool version and python run_flow.py for the unstable multi-agent version.

Key features of 11111111111

  • Open-source, no invite code required.
  • Supports multiple LLMs (e.g., GPT-4o) with vision model.
  • Optional browser automation via Playwright.
  • MCP tool version and multi-agent flow version.
  • Simple terminal-based interaction.

Use cases of 11111111111

  • Quickly prototyping AI agent ideas without waiting for invite codes.
  • Automating browser tasks using Playwright and LLM vision.
  • Running multi-agent workflows with the unstable flow version.
  • Integrating with MCP tools for extended functionality.

Frequently asked questions

1

What LLMs does 11111111111 support?

The configuration is flexible; the example shows GPT-4o with OpenAI API, but you can change `base_url` and `api_key` to use any compatible LLM provider.

2

How do I configure 11111111111?

Copy `config/config.example.toml` to `config/config.toml` and replace the placeholder API keys with your own keys. You can also customize model, temperature, and max tokens.

3

Does 11111111111 require a GPU?

No. It uses remote LLM APIs configured in `config.toml`, so no local GPU is required for inference.

4

Is 11111111111 stable for production?

The README describes it as a "simple implementation" and the multi-agent version (`run_flow.py`) is explicitly labeled "unstable". It is best suited for experimentation and prototyping.

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