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Integrates AI assistants with the Domoticz home automation system to monitor and control smart home devices, scenes, and variables. It enables users to manage d
Integrates AI assistants with the Domoticz home automation system to monitor and control smart home devices, scenes, and variables. It enables users to manage device states, room configurations, and system logs through the Model Context Protocol.
PyPI Version Docker Image Version License: GPL v3
A Model Context Protocol (MCP) server for integrating with the Domoticz home automation system. This server provides tools to AI assistants (like Claude, Gemini, etc.) to view and control your smart home devices, scenes, user variables, and more.
The server exposes Tools (for active control and modifications), Resources (for read-only contextual awareness), and Prompts (for guided interaction templates).
get_overview for a high-level system summary and device counts. Use search_devices to find devices by name or current status using substring or regex matching.get_battery_levels (low battery alerts) and get_connectivity_report (devices that haven't checked in). Use get_system_health for an overview of hardware gateway status.analyze_energy_usage to summarize daily consumption across all power reporting devices and meters.idx or name.idx or name.idx or room_name.idx or name.idx or name. Retrieve system logs and add custom log messages.search_scripts). Supports Blockly, Lua, dzVents, and Python.domoticz://dashboard: Read a curated view of favorite and currently active devices (lights on, sensors active).domoticz://devices: Read the current state of all Domoticz devices.domoticz://device/{idx}, domoticz://device/{type}/{subtype}/{idx}, or domoticz://device/name/{name}: Read the current state of a specific device.domoticz://rooms: Read configured rooms (Room Plans).domoticz://room/{idx} or domoticz://room/{room_name}/{idx}: Read the full states of all devices within a specific room.domoticz://scenes: Read configured scenes.domoticz://scene/{idx} or domoticz://scene/name/{name}: Read the list of devices belonging to a specific scene.domoticz://user-variables: Read the list of all Domoticz user variables.domoticz://user-variable/{idx} or domoticz://user-variable/name/{name}: Read a specific Domoticz user variable.domoticz://events & domoticz://event/{event_id}: Read the overview and specific source code of event scripts.domoticz://log: Read the current Domoticz system log.domoticz://logs/error: Read a filtered view containing only 'Error' level entries from the log.domoticz://security: Read the current status of the security panel.domoticz://settings: Read global Domoticz settings and configuration.agent_guidance: Provides the AI agent with critical knowledge about Domoticz-specific logic and best practices.summarize_home: Instructs the AI to provide a human-readable summary of the home's current state using the dashboard resource.maintenance_report: A comprehensive health check that audits batteries, checks device connectivity, and reviews system logs for errors.audit_batteries: Specifically audits battery levels across all sensors to find those below a certain threshold.energy_audit: Analyzes energy usage across the home to identify the biggest consumers today.find_devices_by_state: Helps find all devices in a particular state (e.g., "show me everything that is open").troubleshoot_device: A template that asks for a device idx or name and instructs the AI to read the device state and system logs to diagnose issues.analyze_automations: Instructs the AI to review your internal event scripts for logic flaws or optimizations.httpx.AsyncClient with proper lifecycle management for improved efficiency during long-running sessions. The server exposes close_global_client() for clean shutdown.DomoticzError, DeviceNotFoundError, AuthenticationError, etc.) for precise error handling and debugging._resolve_idx() helper function for consistent device/scene/variable lookup patterns.pip:pip install .
This will install the domoticz-mcp command-line tool.
uv (Recommended)If you use uv, you can run the server directly from the source repository without installing it globally:
uv run --directory /path/to/domoticz-mcp domoticz-mcp
You can run the server via Docker. By default, the Docker image runs the server in sse (HTTP) mode on port 8000.
docker run -d \
--name domoticz-mcp \
-p 8000:8000 \
-e DOMOTICZ_URL="http://192.168.1.100:8080" \
-e DOMOTICZ_USERNAME="your_username" \
-e DOMOTICZ_PASSWORD="your_password" \
ghcr.io/YOUR_GITHUB_USERNAME/domoticz-mcp:latest
Note: For the OAuth2 token flow to work and persist in Docker without interactive browser prompts, see the OAuth / API Token section below on how to mount the token file or use headless authentication.
The server supports three different transports for clients to connect with:
stdio (Default): Standard input/output. This is what most desktop applications (like Claude Desktop and Gemini CLI) use.domoticz-mcp --transport stdio
sse (HTTP Server-Sent Events): Starts a web server that clients can connect to over HTTP. Ideal for web-based UIs and remote connections. Includes wide-open CORS headers.domoticz-mcp --transport sse --port 8000
Connection URL for clients: http://localhost:8000/ssestreamable-http (Alternative HTTP): Starts a web server using an alternative HTTP transport. Required by certain clients (like the llama.cpp WebUI) that expect a single POST endpoint instead of an SSE stream.domoticz-mcp --transport streamable-http --port 8000
Connection URL for clients: http://localhost:8000/mcpThe server can be configured via environment variables, a .env file, or command-line arguments. Environment variables take precedence over command-line arguments, which in turn override the defaults. Using a .env file is a convenient way to provide these variables without exposing them in your shell history.
| Option | Environment Variable | Default | Description |
|---|---|---|---|
--transport |
DOMOTICZ_MCP_TRANSPORT, TRANSPORT |
stdio |
Transport to use (stdio, sse, or streamable-http) |
--host |
DOMOTICZ_MCP_HOST, HOST |
127.0.0.1 |
Host to bind to for SSE / HTTP |
--port |
DOMOTICZ_MCP_PORT, PORT |
8000 |
Port to bind to for SSE / HTTP |
--domoticz-url |
DOMOTICZ_URL |
https://xmpp.vanadrighem.eu/domoticz |
Base URL of your Domoticz instance |
--token-file |
DOMOTICZ_MCP_TOKEN_FILE, TOKEN_FILE |
~/.config/domoticz-mcp/token.json |
Path to OAuth token storage file |
Example .env file:
DOMOTICZ_URL=http://192.168.1.100:8080
DOMOTICZ_CLIENT_ID=your_client_id_here
DOMOTICZ_CLIENT_SECRET=your_client_secret_here
By default, the server uses standard input/output (stdio) for communication with the MCP client. You can also run it as an HTTP Server-Sent Events (SSE) streaming server using the --transport sse argument.
domoticz-mcp --transport sse --host 127.0.0.1 --port 8000
You can authenticate the MCP server with Domoticz using either an OAuth/API Token (Recommended) or Basic Auth.
This approach uses an OAuth2 token and is generally more secure.
| Option | Environment Variable | Description |
|---|---|---|
--domoticz-client-id |
DOMOTICZ_CLIENT_ID, DOMOTICZ_CLIENTID |
Your Application's Client ID |
--domoticz-client-secret |
DOMOTICZ_CLIENT_SECRET, DOMOTICZ_CLIENTSECRET |
Your Application's Client Secret |
--domoticz-oauth-token |
DOMOTICZ_OAUTH_TOKEN |
Direct OAuth2 access token (skips flow) |
MCP ServerInteractive Flow (Desktop/CLI):
When the server runs for the first time natively on your machine, it will print an authorization URL to the console/stderr and attempt to open your browser. After you approve the request, it will save the token to the token-file for future use.
Headless Flow (Docker / Server Environments): In a Docker container, you have two options:
If you prefer traditional username and password authentication:
| Option | Environment Variable | Description |
|---|---|---|
--domoticz-username |
DOMOTICZ_USERNAME |
Your Domoticz username |
--domoticz-password |
DOMOTICZ_PASSWORD |
Your Domoticz password |
Add the following to your ~/.gemini/settings.json under the mcpServers object:
{
"mcpServers": {
"domoticz": {
"command": "uv",
"args": [
"--directory",
"/path/to/domoticz-mcp",
"run",
"domoticz-mcp"
],
"env": {
"DOMOTICZ_URL": "http://192.168.1.x:8080",
"DOMOTICZ_CLIENT_ID": "your_client_id_here",
"DOMOTICZ_CLIENT_SECRET": "your_client_secret_here"
}
}
}
}
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"domoticz": {
"command": "uv",
"args": [
"--directory",
"/path/to/domoticz-mcp",
"run",
"domoticz-mcp"
],
"env": {
"DOMOTICZ_URL": "http://192.168.1.x:8080",
"DOMOTICZ_CLIENT_ID": "your_client_id_here",
"DOMOTICZ_CLIENT_SECRET": "your_client_secret_here"
}
}
}
}
If you installed it globally via pip, you can use the command directly:
{
"mcpServers": {
"domoticz": {
"command": "domoticz-mcp",
"args": [],
"env": {
"DOMOTICZ_URL": "http://192.168.1.x:8080",
"DOMOTICZ_CLIENT_ID": "your_client_id_here",
"DOMOTICZ_CLIENT_SECRET": "your_client_secret_here"
}
}
}
}
For other clients that support the Model Context Protocol, simply configure them to run the domoticz-mcp binary or the uv run command with the appropriate environment variables.
To develop and run tests for this project:
Clone the repository.
Install development dependencies using uv:
uv pip install -e ".[dev]"
Run the test suite:
uv run pytest tests/
Or use uv run directly without installation:
uv run --directory /path/to/domoticz-mcp pytest
This project is licensed under the GNU General Public License v3.0 (GPLv3). See the LICENSE file for details.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"domoticz-mcp-server": {
"command": "npx",
"args": []
}
}
}