Used to make asynchronous HTTP requests to the Bond Bridge API for controlling motorized window blinds
Used for testing the blinds controller functionality
Click on "Deploy 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., "@MCP Blinds Controller close the blinds in the office"
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.
Control motorized window blinds through Bond Bridge API using Model Context Protocol (MCP).
Open, close, or stop blinds movement
Filter blinds by name, location, or row
Async HTTP API integration
MCP server for AI assistant integration
Related MCP server: Seam MCP Server
Install dependencies:
pip install aiohttp mcpSet environment variables:
export MY_TOKEN="your_bond_token"
export MY_IP="192.168.x.x"Configure devices in data/devices.json:
[
{
"id": "device_id",
"name": "front",
"location": "foyer",
"row": "top"
}
]python blinds.pyfrom blinds import set_blinds_state
# Open all blinds
await set_blinds_state("Open")
# Close office blinds
await set_blinds_state("Close", blind_location="office")Parameters:
action: "Open", "Close", or "Hold"
blind_name: "all", "front", "sunrise", "sunset"
blind_location: "all", "foyer", "office"
blind_row: "all", "top", "bottom"
Run tests:
pytest test_blinds.py -vThis server cannot be deployed
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