mcpField
G
Govee MCP Server

Govee MCP Server

Local
github.com/mathdOther6Updated 81w ago

About Govee MCP Server

Govee MCP Server lets MCP clients control Govee LED devices through the Govee API. It provides tools for power, RGB color, and brightness control, and also includes a CLI for direct device control.

Key features

  1. 01Turn LED devices on or off
  2. 02Set color with RGB values
  3. 03Adjust brightness
  4. 04CLI for direct device control

Use cases

  1. 01Control Govee lights through an MCP client
  2. 02Set a light's RGB color
  3. 03Change a device's brightness from the CLI

MCP support

The MCP server exposes tools to turn Govee LED devices on or off, set RGB color, and adjust brightness through the Govee API.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"govee_mcp_server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Govee MCP Server

smithery badge

An MCP server for controlling Govee LED devices through the Govee API.

Setup

Environment Variables

Create a .env file in the root directory with the following variables:

GOVEE_API_KEY=your_api_key_here
GOVEE_DEVICE_ID=your_device_id_here
GOVEE_SKU=your_device_sku_here

To get these values:

  1. Get your API key from the Govee Developer Portal
  2. Use the Govee Home app to find your device ID and SKU

Installation

Installing via Smithery

To install Govee MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @mathd/govee_mcp_server --client claude
Manual Installation
# Install with pip
pip install .

# For development (includes test dependencies)
pip install -e ".[test]"

Usage

MCP Server

The MCP server provides tools for controlling Govee devices through the Model Context Protocol. It can be used with Cline or other MCP clients.

Available tools:

  • turn_on_off: Turn the LED on or off
  • set_color: Set the LED color using RGB values
  • set_brightness: Set the LED brightness level
Command Line Interface

A CLI is provided for direct control of Govee devices:

# Turn device on/off
govee-cli power on
govee-cli power off

# Set color using RGB values (0-255)
govee-cli color 255 0 0  # Red
govee-cli color 0 255 0  # Green
govee-cli color 0 0 255  # Blue

# Set brightness (0-100)
govee-cli brightness 50

Run govee-cli --help for full command documentation.

Development

Running Tests

To run the test suite:

# Install test dependencies
pip install -e ".[test]"

# Run all tests
pytest tests/

# Run specific test files
pytest tests/test_server.py  # Server tests (mocked API calls)
pytest tests/test_cli.py    # CLI tests (real API calls)

# Run tests with verbose output
pytest tests/ -v

Note: The CLI tests make real API calls to your Govee device and will actually control it. Make sure your device is powered and connected before running these tests.

Project Structure
.
├── src/govee_mcp_server/
│   ├── __init__.py
│   ├── server.py    # MCP server implementation
│   └── cli.py       # Command-line interface
├── tests/
│   ├── test_server.py  # Server tests (with mocked API)
│   └── test_cli.py     # CLI tests (real API calls)
└── pyproject.toml      # Project configuration
Test Coverage
  • Server tests cover:

    • Environment initialization
    • Govee API client methods
    • Server tools and utilities
    • Error handling
  • CLI tests perform real-world integration testing by executing actual API calls to control your Govee device.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.