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MCP Blinds Controller

by mvellayan
GitHub
Python
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MCP Blinds Controller

Control motorized window blinds through Bond Bridge API using Model Context Protocol (MCP).

Features

  • Open, close, or stop blinds movement
  • Filter blinds by name, location, or row
  • Async HTTP API integration
  • MCP server for AI assistant integration

Setup

  1. Install dependencies:
pip install aiohttp mcp
  1. Set environment variables:
export MY_TOKEN="your_bond_token" export MY_IP="192.168.x.x"
  1. Configure devices in data/devices.json:
[ { "id": "device_id", "name": "front", "location": "foyer", "row": "top" } ]

Usage

As MCP Server

python blinds.py

Direct Function Call

from blinds import set_blinds_state # Open all blinds await set_blinds_state("Open") # Close office blinds await set_blinds_state("Close", blind_location="office")

API Reference

set_blinds_state(action, blind_name="all", blind_location="all", blind_row="all")

Parameters:

  • action: "Open", "Close", or "Hold"
  • blind_name: "all", "front", "sunrise", "sunset"
  • blind_location: "all", "foyer", "office"
  • blind_row: "all", "top", "bottom"

Testing

Run tests:

pytest test_blinds.py -v

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Allows control of motorized window blinds through the Bond Bridge API, enabling users to open, close, or stop blinds with filtering by name, location, or row.

  1. Features
    1. Setup
      1. Usage
        1. As MCP Server
        2. Direct Function Call
      2. API Reference
        1. set_blinds_state(action, blind_name="all", blind_location="all", blind_row="all")
      3. Testing

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