sh-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@sh-mcpturn on the living room lights"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
sh-mcp
Home MCP server: a thin adapter over the BFF. Generic verb tools (turn_on, open, lock, …) + home://* resources rebuilt from the BFF snapshot.
Part of the Smart Home AI system — architecture, the full docker compose
stack and the end-to-end tests live in sh-infra.
Run the tests
pip install -r requirements-dev.txt # pulls sh-common from its public GitHub tag
pytestRelated MCP server: Home Assistant MCP Server
Build the image
docker build -t sh-mcp . # sh-common resolved from GitHub (public)--build-arg SH_COMMON_SOURCE=local --build-context sh_common=../sh-common
builds against a sibling checkout instead (offline / coordinated changes).
CI
Workflow | Runs |
|
|
| CodeQL analysis (Python) on PRs, |
| builds the Docker image on every PR; on |
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
Control your Tesla from your AI assistant - climate, charging, access, and security.
Smart home product intelligence: 1,080+ products with expert consensus scores and compatibility.
Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment. 27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time. All tools work via oAuth and a free scraps.kitchen account.
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