claude mcp add debmatic-mcp -- npx -y debmatic-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
9 ★ · claymore666/debmatic-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 9 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository claymore666/debmatic-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Talk to your HomeMatic smart home from Claude, Cursor, or any MCP client. ccu-mcp connects to the CCU's built-in JSON-RPC API and exposes your devices, rooms, programs, and system variables as MCP tools. No addons, no XML-API, no cloud — just a direct connection to the CCU on your local network. Works with any HomeMatic CCU: debmatic (HomeMatic on Debian), a CCU3, or OpenCCU (formerly RaspberryMatic) — anything that exposes the standard /api/homematic.cgi endpoint. What can it do? Ask your AI assistant things like: - "What's the temperature in the bathroom?" - "Are any windows open?" - "Set the living room heating to 21 degrees" - "Show me all devices with low battery" - "What's the gas meter reading?" - "Which devices have low battery or haven't been seen in a long time?" - "Find all channels whose names don't match their device name" - "Rename all devices to follow a consistent naming convention with floor labels (UG/OG/EG)" - "Which room is the window sensor in?" The MCP server handles device discovery, type resolution, session management, and value conversion — the AI just calls the tools. Prerequisites - A running HomeMatic CCU (debmatic, CCU3, or OpenCCU — formerly RaspberryMatic) reachable on your network - The CCU's admin username and password (the same credentials you use to log into the WebUI) - Node.js 24+ (for running from source or stdio mode) or Docker Quick start If it prints server_ready to stderr, it's working. Press Ctrl+C to stop. Now set it up in your MCP client — see below. A cache_save_failed … mkdir '/data' line alongside it is harmless here but worth fixing for real use: CACHE_DIR defaults to /data (the Docker layout), so outside a container the device-type cache and the CCU session are never persisted between runs. Point it somewhere writable: export CACHE_DIR="$HOME/.cache/ccu-mcp" (or the same key in your .env / env block). Prefer a guided setup? npx ccu-mcp init probes your CCU, pins its TLS certificate, tests the login, writes a ready-to-use .env file, and prints the matching MCP client config — see Command-line flags. Installation There are two ways to run this: **stdio** (the server runs as a subprocess of your MCP client) or **HTTP** (the server runs standalone in Docker and clients connect over the network). Pick one. Option A: stdio (direct, simplest) This is the easiest setup. Your MCP client (Claude Code, Cursor, etc.) starts the server as a child process — no Docker, no network config, no auth tokens. For Claude Code, create a .mcp.json file in your project directory (or any directory where you'll use Claude Code): Replace your-ccu-hostname-or-ip with your CCU's hostname (like homematic-ccu3) or IP (like 192.168.1.50), and your-ccu-admin-password with the password you use to log into the CCU WebUI. Restart Claude Code. Run /mcp to check it connected. You should see ccu-mcp in the list. Alternatively, use the Claude Code CLI: Option B: Docker (standalone HTTP server) Use this if you want the server running independently — for example on a home server, accessible to multiple clients, or when your MCP client supports HTTP remotes. **1. Start the container.** Images are published to GHCR for linux/amd64 and linux/arm64 (so a Raspberry Pi next to the CCU works), built natively on each architecture and attested — gh attestation verify oci://ghcr.io/claymore666/ccu-mcp:latest --repo claymore666/ccu-mcp proves the image came from this repository's release workflow. Every release also publishes its own X.Y.Z tag — pin that instead of latest if you'd rather upgrade deliberately. To build from source instead: Then run it: > **MCP_ALLOWED_HOSTS is required for remote clients.** The server's > DNS-rebinding protection rejects any request whose Host header isn't on > the allowlist — by default only localhost/127.0.0.1/[::1] on the MCP > port. Set it to every name/IP clients will use to reach the server > (comma-separated, host:port). Without it, the local health check works > but every remote MCP request gets **403 Invalid Host header**. **2. Get the auth token.** The server generates a random bearer token on first startup and saves it inside the container's data volume. You need this token to authenticate your MCP client. Grab it with: This prints something like MCP_AUTH_TOKEN=e96suzi1iG0H-GPif6K2.... The part after = is your token. **3. Configure your MCP client.** If your client uses .mcp.json, add the HTTP server: To inject the token automatically (requires jq): This only updates the ccu-mcp entry — other servers in your .mcp.json are left alone.