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block-88

gemini-computer-use-mcp

by block-88

Gemini Computer Use MCP

License: MIT

An MCP (Model Context Protocol) server for building browser-control agents using Gemini Computer Use. This project enables agents to plan and perform UI actions in a browser.

✨ Features

  • Computer Use (Browser Control): Provides an MCP tool (run_browser_task) to instruct a browser to perform a high-level task using the Gemini Computer Use model.

  • Generative AI Integration: Utilizes @google/genai for planning and executing computer-use steps.

  • stdio Transport: Communicates using the standard MCP stdio transport mechanism.

Learn more about Gemini Computer Use in the official docs: Gemini Computer Use

Related MCP server: agent-browser-mcp

📚 Table of Contents

🚀 Usage

This project runs as an MCP server. It's typically invoked by an MCP client or controller.

Connecting an MCP Client

Point your MCP client to this server's executable. If your client supports a config file, use the following configs:

stdio Mode

// .mcp.json
{
  "mcpServers": {
    "gemini-computer-use": {
      "type": "stdio",
      "timeout": 300,
      "command": "npx",
      "args": ["--yes", "gemini-computer-use-mcp@latest"],
      "env": {
        "VERTEX_PROJECT_KEY": "vertex-project-key"
      }
    }
  }
}
# ~/.codex/config.toml
tool_timeout_sec = 300

[mcp_servers.gemini-computer-use]
command = "npx"
args = ["--yes", "gemini-computer-use-mcp@latest"]

[mcp_servers.gemini-computer-use.env]
VERTEX_PROJECT_KEY = "vertex-project-key"

SSE Mode

Start server with:

VERTEX_PROJECT_KEY=vertex-project-key npx --yes gemini-computer-use-mcp@latest --server

Then add:

// .mcp.json
{
  "mcpServers": {
    "gemini-computer-use": {
      "type": "sse",
      "timeout": 300,
      "url": "http://localhost:8888/sse"
    }
  }
}

Streamable HTTP Mode

Start server with:

VERTEX_PROJECT_KEY=vertex-project-key npx --yes gemini-computer-use-mcp@latest --server

Then add:

// .mcp.json
{
  "mcpServers": {
    "gemini-computer-use": {
      "type": "http",
      "timeout": 300,
      "url": "http://localhost:8888/mcp"
    }
  }
}
# ~/.codex/config.toml
tool_timeout_sec = 300

[mcp_servers.gemini-computer-use]
url = "http://localhost:8888/mcp"

Environment Variables

Variable

Description

Required

Default

VERTEX_PROJECT_KEY

Vertex AI project key (preferred over GEMINI_API_KEY)

Yes, unless GEMINI_API_KEY is set

GEMINI_API_KEY

Your Gemini API key

Yes, unless VERTEX_PROJECT_KEY is set

MODEL

The model ID to use

No

gemini-2.5-computer-use-preview-10-2025

PROJECT_PATH

Filesystem path used by some tools (defaults to current working directory)

No

(current working directory)

PORT

Server port to use (only for streamable HTTP)

No

8888

Note: Either GEMINI_API_KEY or VERTEX_PROJECT_KEY must be provided (see src/helpers/config.ts).

Tools

Once connected, the client can invoke the tools provided by this server.

run_browser_task

Argument

Description

Required

Default

task

The high-level task to perform

Yes

This tool leverages Gemini Computer Use to plan and perform UI actions to accomplish the provided task. It implements:

  • Automatic browser management: Checks for existing browser at localhost:9222 or starts a new instance

  • Agent loop: Continuously captures screenshots, sends them to Gemini, receives UI actions, and executes them

  • All supported UI actions: mouse movement, clicks, keyboard input, scrolling, text extraction, and more

  • Safety guidelines: Follows Gemini's safety best practices from the official documentation

See the official guidance for capabilities and safety considerations: Gemini Computer Use.

⚙️ Development

Prerequisites

  • Git

Steps

  1. Install dependencies:

    npm install
  2. Configuration:

    • Set GEMINI_API_KEY or VERTEX_PROJECT_KEY. Optionally set MODEL and PROJECT_PATH.

  3. Run:

    • In IDEs: Reload window and check if the MCP is connected

    • Manually: Run ./run in your terminal

💻 Technology Stack

📜 License

This project is licensed under the MIT License - see the LICENSE file for details. Copyright (c) 2025 Khoa Nguyen

📧 Contact

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