"Xiaomi" matching MCP servers:

Provides read-only tools to check cloud authentication and retrieve normalized body-composition measurement history, with optional date filters, including the latest measurement.

Enables control of local Xiaomi smart home devices via MCP, allowing reading real-time status and setting properties through natural language, without relying on the Xiaomi cloud.

MCP server for controlling Xiaomi/Mi Home smart devices via natural language, supporting device listing, property read/write, action calls, and camera snapshots.

mijia-control A production-ready MCP server that enables AI agents (Claude Code, Claude Desktop, Cursor, Hermes, etc.) to directly control Xiaomi/Mijia smart home devices through natural language. What it does Turns conversations into physical actions — "turn on the desk lamp to 50%" becomes actual device control in real-time.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

An MCP server that uses Xiaomi MiMo v2.5 multimodal model to provide image recognition capabilities (description, multi-image analysis, OCR, and image info validation) for text-only main models like deepseek-v4-flash, accepting local paths, URLs, file://, and base64 data inputs.

Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.

Enables AI to search for video streaming URLs and play them directly on Xiaomi TV or other Android TVs. Supports custom configurations for multiple devices.

An MCP server that provides read-only snapshots and change detection for Xiaomi smart home devices, enabling AI clients to get structured home status with a single call.

Gives text-only LLMs vision capabilities via MCP, using vision models like Xiaomi MiMo-V2.5 to analyze images, describe content, and extract text through tools such as analyze_image, describe_image, and extract_text_from_image.

Enables reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.

A server that enables control of smart home devices through the Jenius AI agent system, connecting to Home Assistant to manage devices like Xiaomi air purifiers and smart speakers.

MCP server for read-only access to Xiaomi Mi Fitness shared family health data, enabling queries for family members, health summaries, and historical metrics via ChatGPT.

Enables AI assistants to interact with Xiaomi/Redmi routers, providing read-only queries and management capabilities such as device listing, port forwarding, DHCP reservations, and reboot control.

Enables control of Mijia (Xiaomi) smart home devices through MCP, including querying homes, devices, scenes, and specs, setting properties, running actions and scenes, and issuing speaker commands.

A productized MCP server for Xiaomi Mi Home (米家) that provides natural-language-oriented device discovery and control across homes, rooms, devices, and scenes, while hiding low-level protocol details like did/siid/piid. It supports QR login, structured tooling for status, brightness, temperature, scenes, and speaker announcements, plus standard MCP resources.

A local MCP server that lets an assistant observe and control Windows application windows, plus interact with Xiaomi MiMo AI Desktop workflows, through 22 tools for Unicode typing, smooth dragging, cross-window drops, and bounded SSE streaming.

Enables AI frontends to read Xiaomi Smart Band 10 Pro health data (heart rate, sleep, steps, battery) and send haptic notifications to the wrist via the knock tool.

MCP server that enables AI agents to control Xiaomi Mi Home smart devices through natural language, with support for listing devices, controlling properties, and running scenes.

Enables AI assistants to control Xiaomi Mi Home smart devices through natural language, supporting device listing, property control, actions, and scenes.