Computer Agent

A black-box desktop automation MCP server — give it a task, it handles the screenshots, coordinates, and clicks internally, and returns the result.

PyPI version Python License: MIT

中文说明

How It Works

Unlike typical computer-use tools that expose raw screenshots to the host agent, computer-agent-mcp runs the entire vision loop server-side:

1. Captures the current screen
2. Sends the screenshot + task context to an internal vision model
3. Receives observations, action plans, and coordinate mappings
4. Executes actions locally with visible mouse trajectories
5. Repeats until the task is done — then returns a structured result

The host agent never sees a screenshot. It just sends a task and gets back a result.

Features

• Task-level API — one call to complete a desktop task, no multi-turn screenshot protocol
• Server-side vision loop — screenshots, coordinate mapping, and action execution all handled internally
• Human override detection — stops immediately when a real user touches the keyboard or mouse
• Step-by-step debug recording — full event timeline, screenshots, and model request/response logs
• Works with any OpenAI-compatible vision model — bring your own endpoint and model

Quick Start

Prerequisites

• Windows
• Python >= 3.11
• An OpenAI-compatible API key

Install & Run

The quickest way to start:

uvx computer-agent-mcp \
  --api-key sk-... \
  --base-url https://api.openai.com/v1 \
  --model gpt-5.4

Or install via pip:

pip install computer-agent-mcp
computer-agent-mcp \
  --api-key sk-... \
  --base-url https://api.openai.com/v1 \
  --model gpt-5.4

MCP Host Configuration

Add to your MCP client config (e.g. Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "computer-agent": {
      "command": "uvx",
      "args": [
        "computer-agent-mcp",
        "--base-url",
        "https://api.openai.com/v1",
        "--model",
        "gpt-5.4"
      ],
      "env": {
        "COMPUTER_AGENT_OPENAI_API_KEY": "sk-..."
      }
    }
  }
}

Tools

computer_use_task

Run a stateless black-box desktop task.

Parameter	Default	Description
task	(required)	Natural language description of what to do
display_id	"primary"	Target display
max_steps	30	Maximum vision-action loop iterations

Returns structured result with status (completed / blocked / failed), summary, result, memory, and trace.

computer_list_displays

List available displays. Useful for multi-monitor setups.

Configuration

All CLI parameters can also be set via environment variables:

CLI Flag	Env Variable	Default	Description
--api-key	COMPUTER_AGENT_OPENAI_API_KEY	—	API key (also reads OPENAI_API_KEY)
--base-url	COMPUTER_AGENT_OPENAI_BASE_URL	https://api.openai.com/v1	API base URL
--model	COMPUTER_AGENT_OPENAI_MODEL	gpt-5.4	Vision model to use
--max-steps-default	COMPUTER_AGENT_MAX_STEPS_DEFAULT	30	Default max steps per task
--max-duration-s-default	COMPUTER_AGENT_MAX_DURATION_S_DEFAULT	120	Default max duration (seconds)
--debug-dir	COMPUTER_AGENT_DEBUG_DIR	.computer_agent_mcp_debug/	Debug output directory
--log-level	COMPUTER_AGENT_LOG_LEVEL	INFO	Log level

Enable debug recording with COMPUTER_AGENT_DEBUG=1. See REFERENCE.md for the full configuration reference and detailed runtime semantics.

Development

pip install -e .[dev]
pytest

Platform Support

Currently Windows only. The server will start on other platforms but desktop tool calls will fail.

Contributing

Contributions are welcome! Please open an issue first to discuss what you'd like to change.

License

MIT