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Domoticz MCP Server

by adrighem

Domoticz MCP Server

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.

Features

The server exposes Tools (for active control and modifications), Resources (for read-only contextual awareness), and Prompts (for guided interaction templates).

Tools (Actions)

  • Search: search_devices_tool searches devices by name or current data/status text. search_scripts_tool searches inside Domoticz event scripts.

  • Authentication: start_oauth_login starts a short-lived login and opens the authorization page locally without returning transaction data. get_oauth_login_status reports when the login is complete.

  • Energy History: get_daily_energy_history, get_weekly_energy_history, and get_monthly_energy_history read counter graph history for energy, gas, and water meters by idx or name.

  • Device Control: toggle_switch, set_switch_state, set_dimmer_level, set_temperature_setpoint, control_blinds, set_color_brightness, and set_color_temperature control supported devices by idx or name.

  • Device Management: rename_device, delete_device, create_virtual_sensor, and update_device_value manage devices and virtual sensors.

  • Scenes and Groups: switch_scene activates configured scenes/groups by idx or name.

  • User Variables: add_user_variable, update_user_variable, and delete_user_variable manage Domoticz user variables.

  • Event Scripts: create_event and update_event create or update internal Domoticz event scripts.

  • System Actions: restart_system, add_log_message, send_notification, and set_security_status call Domoticz system, log, notification, and security APIs.

  • Advanced: call_domoticz_api executes a generic Domoticz command API call and returns only its sanitized status/title.

High-impact tools require confirm=True: call_domoticz_api, delete_device, delete_user_variable, update_event, restart_system, and set_security_status.

Resources (Context)

  • 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. In the typed form, idx is authoritative and type/subtype are descriptive path fields.

  • 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 a specific scene/group entry.

  • 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://logs or 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 a reviewed, non-sensitive subset of global display/version settings.

  • domoticz://hardware: Read only gateway idx, name, type, and enabled status. Connection details and integration configuration are omitted.

  • domoticz://docs/dzvents_syntax: Cheat sheet for writing dzVents automation scripts.

  • domoticz://docs/blockly_syntax: Syntax rules for Blockly XML automations.

Prompts (Templates)

  • agent_guidance: Orients an AI agent to start with domoticz://overview, prefer idx, and use health/log resources for troubleshooting.

  • summarize_home: Guides a concise home-state summary from domoticz://dashboard.

  • maintenance_report: Guides a health check using battery alerts, system health, and error logs.

  • energy_audit: Guides an energy review using domoticz://devices and the energy history tools.

Related MCP server: Indigo MCP Server Plugin

Performance and Efficiency

  • Caching: The server implements a 5-minute TTL cache for devices, scenes, user variables, and rooms to significantly reduce API latency and Domoticz load.

  • HTTP Lifecycle: Reuses a shared httpx.AsyncClient, applies consistent timeouts, and closes it through the MCP server lifespan.

  • Bounded Authentication: MCP requests fail fast with actionable guidance when OAuth needs attention; browser authentication only runs when explicitly requested.

  • Output Safety: Domoticz responses are recursively sanitized before crossing the MCP boundary. Credential fields, OAuth transaction data, private endpoints, network addresses, and sensitive free-text patterns are redacted; high-risk configuration resources also use strict allowlists.

Architecture

  • Type Safety: Full type annotations using Python 3.10+ union syntax for improved IDE support and code clarity.

  • Error Handling: Structured exception hierarchy (DomoticzError, DeviceNotFoundError, AuthenticationError, etc.) for precise error handling and debugging.

  • Shared Resolution: Unified _resolve_idx() helper function for consistent device/scene/variable lookup patterns.

Prerequisites

  • Python 3.10 or higher

  • A running Domoticz instance

  • Network access to the Domoticz API

Installation

Standard Python Installation (Linux, macOS, Windows)

  1. Clone or download this repository.

  2. Navigate to the project directory.

  3. Install the package using pip:

pip install .

This will install the domoticz-mcp command-line tool.

Using 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

Docker Installation

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/adrighem/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.

Transport Options

The server supports three different transports for clients to connect with:

  1. stdio (Default): Standard input/output. This is what most desktop applications (like Claude Desktop and Gemini CLI) use.

    domoticz-mcp --transport stdio
  2. 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/sse

  3. streamable-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/mcp

Configuration

The 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.

General Options

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

http://127.0.0.1:8080

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

Transport Options

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

Authentication Options

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)

  1. In the Domoticz UI, go to Setup -> More Options -> Applications.

  2. Click Add Application and configure:

    • Name: e.g., MCP Server

    • isPublic: Check this if you want to use Key-Pair, or leave unchecked for a Shared Secret.

  3. Note the generated Client ID and Client Secret.

Interactive Flow (Desktop/CLI): Run the explicit authentication command in an interactive terminal:

domoticz-mcp --authenticate

The command opens a local browser and waits up to two minutes for the callback without printing the authorization or callback URL. After approval, it stores the token with owner-only file permissions and starts the MCP server. Normal MCP requests never launch a browser; if refresh fails, they return an actionable authentication error instead of waiting indefinitely.

Interactive Flow from Codex or another MCP client:

  1. Call start_oauth_login.

  2. Complete approval in the browser opened on the MCP host.

  3. Call get_oauth_login_status with the returned flow_id until its status is complete.

  4. Retry the original Domoticz operation.

The start tool bounds the local browser launch to five seconds and reuses an existing pending flow, so it does not wait for browser approval. The callback listener binds only to 127.0.0.1, expires after two minutes, validates OAuth state and PKCE, and never returns authorization URLs, tokens, or authorization codes through MCP.

This tool flow is intended for a local MCP server such as Codex STDIO. Remote containers and execution hosts should use the command-line authentication flow on a browser-capable host or a securely mounted token file.

Headless Flow (Docker / Server Environments): In a Docker container, you have two options:

  1. Password Grant (Easiest): Provide username and password in addition to the Client ID and Secret. The server will automatically perform a headless login to fetch the initial token.

  2. Mount Token File: Run the server locally once to generate the token file, then mount it into the container.

Option 2: Basic Auth

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

  1. In the Domoticz UI, go to Setup -> Settings -> Security.

  2. Ensure "Allow Basic-Auth authentication over plain HTTP" is enabled (if you are not using HTTPS).

MCP Client Configuration

Gemini CLI

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"
      }
    }
  }
}

Claude Desktop

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"
      }
    }
  }
}

Other MCP Clients

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.

Development and Testing

To develop and run tests for this project:

  1. Clone the repository.

  2. Install development dependencies using uv:

    uv pip install -e ".[dev]"
  3. Run the test suite:

    uv run --extra dev pytest tests/
  4. Build the package locally:

    uv run --extra dev python -m build

You can also pass --directory /path/to/domoticz-mcp to either uv run command when running from outside the repository.

License

This project is licensed under the GNU General Public License v3.0 (GPLv3). See the LICENSE file for details.

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