Which integrations are available for this server?

Provides comprehensive [smart](/mcp/servers/integrations/smart) home device control through OXII platform, including device switching, air conditioner management, cronjob scheduling, and room-based automation scenarios

OXII Smart Home MCP Server

Modern documentation for the device-control MCP stack that pairs with the FastAPI chatbot. Use this guide the same way you would the chatbot docs: it covers setup, commands, tooling, and troubleshooting for standalone MCP development.

🔎 Overview


Purpose	Expose OXII smart home controls (device info, switching, AC, cronjobs, one-touch, room scenarios) via the Model Context Protocol (MCP).
Transport	Server Sent Events (SSE) on port `9031` .
Runtime	Python 3.10+, `mcp.server.FastMCP` with LangChain MCP adapters.
Consumers	The FastAPI chatbot ( `chatbot/` ) or any MCP-compatible client.

mcp/oxii-server/ ├── main.py # Boots the FastMCP process and registers tools ├── tools/ # Tool implementations (auth, device control, cronjobs…) ├── client.py # Quick demo client for manual testing ├── docker-compose.yml # Containerized runtime (exposes :9031) └── .env.example # Sample environment for OXII credentials

✅ Prerequisites

Python 3.10 or newer (Poetry will manage dependencies), or Docker Engine 20.10+
OXII account credentials with device access (phone, password, country)
Network access to the OXII staging/prod API defined in OXII_BASE_URL

⚙️ Environment configuration

Create a working copy of the environment file and fill in the secrets:

cp .env.example .env

Variable	Description
`OXII_BASE_URL`	Root URL for the OXII API (staging provided by default).
`OXII_PHONE` / `OXII_PASSWORD` / `OXII_COUNTRY`	Login used to obtain access tokens.
`PORT` / `HOST`	Optional overrides for where the MCP server listens (default `0.0.0.0:9031` ).
`DEBUG`	Toggle verbose logging ( `true` / `false` ).

🚀 Running the server

Option 1 – Local Poetry workflow

poetry install poetry run python main.py

This starts the server at http://localhost:9031/sse.

Option 2 – Docker Compose

cp .env.example .env # if you have not already docker compose up --build -d

The compose stack exposes port 9031 on the host. Combine this with the chatbot by pointing OXII_MCP_SERVER_URL to http://host.docker.internal:9031/sse inside the chatbot container.

✅ Verifying the service

1. Use the bundled client

poetry run python client.py

Select a tool from the prompt and provide the required parameters to confirm end-to-end connectivity.

2. Visit the built-in docs UI

Human friendly docs: http://host.docker.internal:9031/docx
Machine readable catalogue: http://host.docker.internal:9031/docs.json

3. Curl the SSE handshake

curl -N http://localhost:9031/sse

You should see an initial JSON payload describing the MCP capabilities.

🧰 Tool catalogue

Below is a quick reference for each registered MCP tool. All payloads are JSON structures passed through the MCP protocol.

Tool	Purpose	Key parameters
`get_device_list`	List homes, rooms, devices, and remote buttons.	`token`
`switch_device_control`	Toggle SH1/SH2 relay devices.	`token` , `house_id` , `device_id` , `button_code` , `command` ( `ON` / `OFF` )
`control_air_conditioner`	Full AC control (mode, temp, fan).	`token` , `serial_number` , `mode` , `fan_speed` , `temperature` , etc.
`create_device_cronjob`	Add/update/remove cronjobs for switches or AC.	`token` , `device_id` or `button_id` , `action` , `cron_expression` , `command`
`one_touch_control_all_devices`	Execute a house-wide preset (e.g., “turn everything off”).	`token` , `house_id` , `status`
`one_touch_control_by_type`	Toggle devices by type (LIGHT, CONDITIONER, …).	`token` , `house_id` , `device_type` , `status`
`room_one_touch_control`	Run a single-room preset.	`token` , `room_id` , `status`

ℹ️ Detailed schemas live in tools/ next to each function. Review those modules for argument validation and API payload shapes.

🔄 Working with the chatbot

Start the MCP server (local or Docker) and ensure port 9031 is reachable from the chatbot environment.
In chatbot/.env, set OXII_MCP_SERVER_URL=http://host.docker.internal:9031/sse when running the chatbot in Docker.
Restart the chatbot container (docker compose restart app) to apply env changes.
Use the chatbot endpoint POST /ai/agent-oxii with a valid OXII token—the agent will automatically call the MCP tools.

🧪 Testing & diagnostics

Unit checks – Run poetry run pytest if you add tests (seed file test_tools.py is available as a template).
Token validation – Use chatbot/test_folders/testing_api.py to fetch a fresh token before invoking tools.
Logs – With DEBUG=true, the server prints detailed traces for each MCP call. In Docker, view them with docker compose logs -f oxii-server.

🛠 Troubleshooting

Symptom	Suggested fix
`httpx.ConnectError: All connection attempts failed`	The consumer is pointing to `localhost` from inside Docker. Use `host.docker.internal` or run both services on the same Compose network.
Authentication failures	Double-check `OXII_PHONE` , `OXII_PASSWORD` , and `OXII_COUNTRY` . Tokens expire—fetch a new one if requests start returning 401.
Cronjob payload rejected	Ensure the cron expression has 6 fields ( `second minute hour day month weekday` ) and matches the device type (SH1/SH2 vs SH4).
AC commands ignored	Some devices require numeric mode/fan values. See constants in `tools/ac_control.py` for valid ranges.
Docker rebuilds are slow	Use `docker compose build oxii-server --no-cache` after dependency changes, otherwise rely on cached layers.