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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 5:31:29 PM

Yeelight IoT MCP Server

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository10 GitHub StarsTotal stargazers on GitHub for the source repository (10 stars).
yeelightsmart-homeiotdevice-control

Connects MCP clients to Yeelight Pro homes for discovery, live state, device control, and scene execution.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below โ€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "yeelight-iot-mcp-server": {
      "url": "https://api.yeelight.com/apis/mcp_server/v1/mcp",
      "env": {
        "YEELIGHT_IOT_MCP_API_BASE_URL": "YOUR_VALUE_HERE",
        "YEELIGHT_IOT_MCP_DEFAULT_REGION": "YOUR_VALUE_HERE",
        "YEELIGHT_IOT_MCP_BIND_HOST": "YOUR_VALUE_HERE",
        "YEELIGHT_IOT_MCP_PATH": "YOUR_VALUE_HERE",
        "YEELIGHT_IOT_MCP_HTTP_TIMEOUT": "YOUR_VALUE_HERE",
        "YEELIGHT_IOT_MCP_RUNTIME_ENV": "YOUR_VALUE_HERE",
        "YEELIGHT_IOT_MCP_NACOS_ENABLED": "YOUR_VALUE_HERE"
      }
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (8) Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

Yeelight IoT MCP Server MCP server exposes Yeelight Pro home topology, live-state access, device controls, and scene execution through MCP. It uses Streamable HTTP, either through Yeelight's hosted endpoint or a locally deployed service that still calls Yeelight cloud APIs. Read operations discover homes, areas, rooms, devices, groups, and scenes, while control operations support dry-run previews and explicit confirmation. Choose it for existing integrations or focused workflows that depend on direct control_node or execute_scene access.

Use cases

โ€ขDiscover Yeelight Pro homes, rooms, devices, groups, and scenes
โ€ขInspect current device capabilities before issuing a control
โ€ขPreview and confirm Yeelight device property changes
โ€ขExecute confirmed Yeelight scenes
โ€ขDevelop focused Yeelight cloud MCP integrations

Key features

โ€ขYeelight Pro topology and live-state discovery
โ€ขCursor pagination for collection queries
โ€ขRoom-filtered device and group listing
โ€ขDry-run device and scene operations
โ€ขExplicit side-effect confirmation
โ€ขStreamable HTTP transport

Capabilities & Tool Schemas (8) ~102 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Yeelight IoT MCP Server.

get_currnet_house_info

Read the selected house. The misspelling is retained for compatibility.

get_areas

List areas with cursor pagination.

get_rooms

List rooms with cursor pagination.

get_devices

List all devices or filter by room.

get_groups

List all groups or filter by room.

get_scenes

List scenes with cursor pagination.

How Yeelight IoT MCP Server works

What Yeelight IoT MCP Server MCP server does

Yeelight IoT MCP Server provides an MCP interface to Yeelight Pro homes. It covers home and topology discovery, including areas, rooms, devices, groups, and scenes, and exposes current information needed to identify targets before issuing a control request. The service is the focused live-state and control component of Yeelight's cloud MCP suite.

The repository is intended for specialized integrations and development work involving direct control or scene execution. For a first-time setup, the project documentation recommends using the unified Yeelight MCP setup, which configures this service together with Yeelight Metadata MCP.

How it works

The service communicates over Streamable HTTP. Clients can use the hosted endpoint at https://api.yeelight.com/apis/mcp_server/v1/mcp, or operators can run the application locally with Uvicorn and connect through a local /mcp URL. Both deployment modes use Yeelight cloud APIs; local hosting does not provide an offline gateway.

Requests require an Authorization header. The hosted service also accepts optional region and house-selection headers. If those values are omitted, the service can derive the region from the token and select a Pro home according to its documented defaults.

Read tools support cursor pagination where applicable. Control requests are designed as a two-step workflow: identify the current target, generate a dry-run plan, review it, and then submit a confirmed live operation. Yeelight IoT MCP Server requires both dryRun=false and confirmSideEffect=true before a control or scene request can cause changes.

Setup and configuration

Local deployment requires Python 3.10 or newer and uv. The documented workflow clones the repository, installs dependencies with uv sync, sets a local runtime environment, disables Nacos registration, and starts uvicorn on 127.0.0.1:9000.

The hosted configuration needs the MCP URL and an Authorization header. The recommended beginner path uses Yeelight Home to complete QR-based sign-in and configure an MCP client. That setup can provision the Metadata and IoT services together without placing the authorization value directly in the AI client's configuration.

Available local configuration includes the API base URL, fallback region, bind host, MCP path, HTTP timeout, runtime environment, and Nacos registration setting. The service does not read an operator's CLI Profile, and every request must include an explicit Authorization header.

Tools and capabilities

Yeelight IoT MCP Server exposes eight tools:

  • get_currnet_house_info reads the selected house. The spelling is intentionally retained for compatibility.
  • get_areas, get_rooms, and get_scenes return cursor-paginated collections.
  • get_devices lists devices, optionally restricted to a room.
  • get_groups lists groups, optionally restricted to a room.
  • control_node previews or executes a node property command.
  • execute_scene previews or executes a scene.

The first six tools are read-only. The final two default to dry-run behavior and provide redacted control plans before execution. Callers should resolve names to current identifiers and inspect supported properties before attempting a write.

Limitations and notes

A Yeelight Authorization token is required. Region and house ID are optional, but omitting them invokes the service's selection behavior. The rs control property is blocked by the current safety policy. Failed writes or scene executions should not be retried blindly.

The service is specifically focused on live state, topology, device control, and scene execution. Broader workflows such as account management, automations, favorites, maintenance, and other guarded management operations belong to Yeelight Metadata MCP rather than this server.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
10
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
8
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Yeelight IoT MCP Server

Yeelight IoT MCP Server is an MCP server that connects MCP clients to Yeelight Pro homes through Yeelight cloud APIs. It provides topology discovery tools for homes, areas, rooms, devices, groups, and scenes, plus control_node for device properties and execute_scene for scene execution with dry-run safeguards.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars10
GitHub Star CountTotal stargazers on GitHub representing community popularity (10 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 23, 2026
51Quality signal: Good ยท 51/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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