beestat-mcp

Python MCP server that wraps the beestat API.

What this provides

• A generic tool: beestat_call(resource, method, arguments?, http_method?)

• Convenience tools for documented resources:

  • thermostat_read_id

  • ecobee_thermostat_read_id

  • sensor_read_id

  • ecobee_sensor_read_id

  • runtime_thermostat_read

  • runtime_thermostat_summary_read_id

  • runtime_sensor_read

  • thermostat_sync

  • sensor_sync

  • runtime_sync

Related MCP server: Trello MCP Server

Setup

python -m venv .venv
source .venv/bin/activate
pip install -e .

Set your beestat key:

export BEESTAT_API_KEY="your_api_key"

Run server (default transport: streamable-http):

beestat-mcp

Or force stdio:

beestat-mcp --transport stdio

Docker

Build and run:

docker build -t beestat-mcp .
docker run --rm -p 8000:8000 \
  -e BEESTAT_API_KEY="your_api_key" \
  beestat-mcp

Or with compose:

cat > .env << 'EOF'
BEESTAT_API_KEY=your_api_key
BEESTAT_MCP_PORT=8000
BEESTAT_MCP_STREAMABLE_HTTP_PATH=/mcp
EOF

docker compose up -d --build

n8n usage

Use n8n's MCP Client node with HTTP transport and point it at:

http://127.0.0.1:8000/mcp

If both n8n and this service run in Docker Compose, use:

http://beestat-mcp:8000/mcp

If n8n is in Docker and this server is on host, use host.docker.internal instead of 127.0.0.1.

Server config env vars:

• BEESTAT_MCP_TRANSPORT (streamable-http, sse, stdio)

• BEESTAT_MCP_HOST (default 0.0.0.0)

• BEESTAT_MCP_PORT (default 8000)

• BEESTAT_MCP_STREAMABLE_HTTP_PATH (default /mcp)

• BEESTAT_MCP_MOUNT_PATH (default /)

• BEESTAT_MCP_SSE_PATH (default /sse)

• BEESTAT_MCP_MESSAGE_PATH (default /messages/)

Example MCP client config (Claude Desktop)

{
  "mcpServers": {
    "beestat": {
      "command": "/home/lrw5016/projects/beestat-mcp/.venv/bin/beestat-mcp",
      "env": {
        "BEESTAT_API_KEY": "your_api_key"
      }
    }
  }
}

Notes

• arguments are forwarded directly to beestat as JSON.

• http_method supports GET (default) and POST.

• If beestat returns success: false, the MCP tool now raises a clear error message.

Troubleshooting

If your agent hangs after lines like:

Calling MCP_Client with input: {"tool":"runtime_thermostat_read","arguments":{"thermostat_id":71384}}

check these first:

1. Endpoint/network:

   • If n8n and beestat-mcp are in different compose projects, 127.0.0.1 inside n8n is not your host.

   • Use http://host.docker.internal:8000/mcp (host service) or put both services on a shared Docker network and use http://beestat-mcp:8000/mcp.

2. Tool argument shape:

   • runtime_thermostat_read is not a good tool for "how long has heat run today".

   • Use runtime_thermostat_summary_read_id and aggregate summary fields for the target date.

3. Server logs:

   • docker compose logs -f beestat-mcp

   • If you see beestat API error ..., that message now surfaces directly to the agent.