Deployment¶

Deployment Options¶

fan-manager exposes its MCP server (console script fan-manager-mcp) four ways. Pick the row that matches where the server runs relative to your MCP client, then copy the matching mcp_config.json below. Add the service-connection environment variables documented in the Configuration section.

#	Option	Transport	Where it runs	`mcp_config.json` key
1	stdio	`stdio`	client launches a subprocess	`command`
2	Streamable-HTTP (local)	`streamable-http`	a local network port	`command` or `url`
3	Local container / uv	`stdio` or `streamable-http`	Docker / Podman / uv on this host	`command` or `url`
4	Remote URL	`streamable-http`	a remote host behind Caddy	`url`

1. stdio (local subprocess)¶

The client launches the server over stdio via uvx — best for local IDEs (Cursor, Claude Desktop, VS Code):

{
  "mcpServers": {
    "fan-manager-mcp": {
      "command": "uvx",
      "args": ["--from", "fan-manager", "fan-manager-mcp"]
    }
  }
}

2. Streamable-HTTP (local process)¶

Run the server as a long-lived HTTP process:

uvx --from fan-manager fan-manager-mcp --transport streamable-http --host 0.0.0.0 --port 8000
curl -s http://localhost:8000/health        # {"status":"OK"}

Then either let the client launch it:

{
  "mcpServers": {
    "fan-manager-mcp": {
      "command": "uvx",
      "args": ["--from", "fan-manager", "fan-manager-mcp", "--transport", "streamable-http", "--port", "8000"],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "0.0.0.0",
        "PORT": "8000"
      }
    }
  }
}

…or connect to the already-running process by URL:

{
  "mcpServers": {
    "fan-manager-mcp": { "url": "http://localhost:8000/mcp" }
  }
}

3. Local container / uv¶

(a) Launch a container directly from mcp_config.json (stdio over the container — no ports to manage). Swap docker for podman for a daemonless runtime:

{
  "mcpServers": {
    "fan-manager-mcp": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "TRANSPORT=stdio",
        "knucklessg1/fan-manager:latest"
      ]
    }
  }
}

(b) Run a local streamable-http container, then connect by URL:

docker run -d --name fan-manager-mcp -p 8000:8000 \
  -e TRANSPORT=streamable-http \
  -e PORT=8000 \
  knucklessg1/fan-manager:latest
# or, from a clone of this repo:
docker compose -f docker/mcp.compose.yml up -d

{
  "mcpServers": {
    "fan-manager-mcp": { "url": "http://localhost:8000/mcp" }
  }
}

(c) From a local checkout with uv:

uv run fan-manager-mcp --transport streamable-http --port 8000

4. Remote URL (deployed behind Caddy)¶

When the server is deployed remotely (e.g. as a Docker service) and published through Caddy on the internal *.arpa zone, connect with the "url" key — no local process or image required:

{
  "mcpServers": {
    "fan-manager-mcp": { "url": "http://fan-manager-mcp.arpa/mcp" }
  }
}

Caddy reverse-proxies http://fan-manager-mcp.arpa to the container's :8000 streamable-http listener; http://fan-manager-mcp.arpa/health returns {"status":"OK"} when the service is live.

MCP server¶

fan-manager-mcp --transport streamable-http --host 0.0.0.0 --port 8000

Agent server¶

fan-manager-agent --provider openai --model-id gpt-4o

Docker¶

The container must reach the host IPMI device:

docker run -d \
  --name fan-manager-mcp \
  --device /dev/ipmi0 \
  -p 8000:8000 \
  -e TRANSPORT=streamable-http \
  -e PORT=8000 \
  knucklessg1/fan-manager:latest

Docker Compose¶

docker/mcp.compose.yml runs the MCP server; docker/agent.compose.yml runs the MCP server plus the agent (Web UI on port 9017). Copy .env.example to .env first.

cp .env.example .env
docker compose -f docker/agent.compose.yml up -d

Add privileged: true (or a devices: entry for /dev/ipmi0) to the fan-manager-mcp service so it can drive the BMC from inside the container.

Environment configuration¶

See .env.example for the full set of MCP, telemetry, Eunomia, and tool-toggle variables.