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Yeelight IoT MCP Server

作者:Yeelight版本 0.1.0i★ –i在云端运行
注册名称io.github.Yeelight/yeelight-iot-mcp

安装

概览

作者提供的说明(英文原文)

Yeelight device discovery, state, control, and scene execution.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 其他
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
  • 需要你自己填写: Authorization, Yeelight-Region, House-Id

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http yeelight-iot https://api.yeelight.com/apis/mcp_server/v1/mcp --header 'Authorization: your-value' --header 'Yeelight-Region: your-value' --header 'House-Id: your-value'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "yeelight-iot": {
      "url": "https://api.yeelight.com/apis/mcp_server/v1/mcp",
      "headers": {
        "Authorization": "your-value",
        "Yeelight-Region": "your-value",
        "House-Id": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "yeelight-iot": {
      "type": "http",
      "url": "https://api.yeelight.com/apis/mcp_server/v1/mcp",
      "headers": {
        "Authorization": "your-value",
        "Yeelight-Region": "your-value",
        "House-Id": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Yeelight cloud Bearer token.
  • Yeelight-Region HTTP header
    Optional Yeelight region: cn, sg, us, eu, or dev.
  • House-Id HTTP header
    Optional Pro home identifier for request-scoped selection.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Yeelight 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18349 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18349 个服务器的 63% 更新
  • 基础检查结果等于或优于此分类中其他 18349 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Yeelight IoT MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于27天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, arr-mcp

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

arr-mcp

作者:bardesss

One server, 40 tools, the whole media stack: *arrs, Jellyfin, Plex, Seerr, Cleanuparr, downloaders

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Yeelight IoT MCP

简体中文

Official Repository And Mirrors

GitHub is the canonical source for issues, contributions, CI, and releases. Read-only mirrors are available on Gitee and GitCode for users who cannot reach GitHub reliably, with GitLab.com as an additional global fallback. Clone from any reachable source, but report issues and contribute changes on GitHub.

[!IMPORTANT]

New to Yeelight MCP? Use one Yeelight MCP setup instead of installing this repository separately.

The setup configures this live-state/control service and

Yeelight Metadata MCP

together. This repository remains the developer reference for its specialized

server, endpoint, and tools.

Follow the official English Yeelight MCP tutorial for the complete beginner path, or open the Simplified Chinese tutorial.

Yeelight Cloud MCP Suite

This repository is the focused-control part of the official Yeelight cloud MCP suite. Ordinary users receive both independently deployed services as one capability group through the same setup:

ServerRole in the suiteCore capabilities
[Metadata MCP](https://github.com/Yeelight/yeelight-metadata-mcp)Home understanding and guarded management.Broad discovery and guarded management workflows, multi-region authorization, and request-scoped home selection.
IoT MCPLive state and focused control.Direct topology and live-state access, control_node, and execute_scene.

Recommended composition: run one Yeelight MCP setup so both services are available without a second install or scan.

Which MCP should I use?
What you needRecommended entry point
First Yeelight MCP integrationConfigure the complete Yeelight MCP suite with yeelight-home setup --mode mcp --mcp-source cloud
Homes, rooms, devices, groups, panels, scenes, automations, favorites, maintenance, or account workflowsYeelight Metadata MCP
Multi-region authorization and request-scoped home selectionYeelight Metadata MCP, optionally configured with Yeelight Home
An existing integration that depends on control_node or execute_sceneKeep using Yeelight IoT MCP
Develop or troubleshoot focused direct control, live state, or scene executionUse this repository's server and tool documentation

Place In Yeelight AI

yeelight-home provides the recommended installation, QR sign-in, and client-configuration flow. Ordinary users should prefer the complete yeelight-smart-home Skill; MCP-only clients run one cloud setup for the complete Yeelight MCP suite. The cloud services then execute independently of the local Runtime.

In plain language: ordinary users do not install this server separately. It is included by the unified setup and remains independently addressable for existing or specialized integrations. It is not a dependency of Yeelight Home or either Skill.

Existing and specialized IoT MCP integrations

Yeelight IoT MCP is the official focused Model Context Protocol server for Yeelight Pro homes. It lets MCP clients discover homes, areas, rooms, devices, groups, and scenes, read current capabilities, prepare safe device controls, and execute confirmed controls or scenes. The following documentation remains the supported reference for existing and specialized integrations.

For the suite overview and recommended default setup, return to Yeelight Metadata MCP.

Capabilities

  • Streamable HTTP MCP transport.
  • Official hosted endpoint or self-hosted source deployment.
  • Eight tools for topology discovery, device control, and scene execution.
  • Cursor pagination for area, room, device, group, and scene lists.
  • Dry-run by default for device control and scene execution.
  • Redacted control plans and explicit side-effect confirmation.

Requirements

  • Python 3.10 or later for local deployment.
  • uv for the documented local workflow.
  • A Yeelight Authorization token. Region and House ID are optional.
Recommended: let Yeelight Home complete sign-in and configuration
npm install --global yeelight-home

yeelight-home setup --lang en-US --mode mcp --agent cursor --mcp-source cloud --yes

The command displays a QR code. In Yeelight Pro app Home, tap the top-right +, choose MCP Authorization, and scan it. One Pro home is selected automatically; multiple homes are presented by name. Cloud mode configures Metadata and IoT MCP together through local credential proxies, without copying Authorization into the AI client's configuration. Manual token configuration remains an advanced compatibility path.

Hosted Service

Use the official Streamable HTTP endpoint:

https://api.yeelight.com/apis/mcp_server/v1/mcp

Required request header:

Authorization: <YOUR_AUTHORIZATION>

Optional headers are Yeelight-Region and House-Id. The server accepts a raw token or a value prefixed with Bearer. When Region is omitted, a JWT Region claim selects the official endpoint before the complete token is validated. When House ID is omitted, the server selects the first Pro home in that Region. Users never configure a Client ID; IoT upstream calls derive it from the validated JWT when required, falling back to dev in the development Region and iot-app in cn, sg, us, or eu.

Local Development

git clone https://github.com/Yeelight/yeelight-iot-mcp.git

cd yeelight-iot-mcp

uv sync --extra test YEELIGHT_IOT_MCP_RUNTIME_ENV=local \ YEELIGHT_IOT_MCP_NACOS_ENABLED=false \ PYTHONPATH=src \ uv run uvicorn main:streamable_http_app --host 127.0.0.1 --port 9000

The local MCP URL is http://127.0.0.1:9000/mcp. Local deployment still uses Yeelight cloud APIs; it is not an offline gateway. Every request must provide an explicit Authorization header regardless of bind address or runtime environment. The service never reads an operator's CLI Profile; tests may use an explicit isolated credential provider. Nacos registration is disabled by default in the public project and can be enabled explicitly through environment variables.

MCP Client Configuration

{

"mcpServers": { "yeelight-iot": { "url": "https://api.yeelight.com/apis/mcp_server/v1/mcp", "headers": { "Authorization": " " } } } }

Restart the MCP client after changing its configuration, then verify that tools/list returns the Yeelight tools.

Tools

ToolPurposeSide effect
get_currnet_house_infoRead the selected house. The misspelling is retained for compatibility.Read only
get_areasList areas with cursor pagination.Read only
get_roomsList rooms with cursor pagination.Read only
get_devicesList all devices or filter by room.Read only
get_groupsList all groups or filter by room.Read only
get_scenesList scenes with cursor pagination.Read only
control_nodePreview or execute a node property command.Dry-run by default
execute_scenePreview or execute a scene.Dry-run by default

For request examples and operating rules, read the usage guide. For client and deployment details, read the integration guide.

Safety Model

control_node and execute_scene default to dryRun=true. A live operation requires both dryRun=false and confirmSideEffect=true. Callers should:

  1. Resolve names to current IDs using read tools.
  2. Inspect the target's supported properties and operators.
  3. Generate and review a dry-run plan.
  4. Obtain user confirmation in the calling application.
  5. Execute once and query the resulting state when possible.

The control property rs is blocked by the current safety policy. Do not retry failed writes or scene executions blindly.

Configuration

Common environment variables for local deployments:

VariableDefaultPurpose
YEELIGHT_IOT_MCP_API_BASE_URLhttps://api.yeelight.comYeelight API origin
YEELIGHT_IOT_MCP_DEFAULT_REGIONcnFallback Region for opaque tokens
YEELIGHT_IOT_MCP_BIND_HOST127.0.0.1 in local/testBind address; production defaults to 0.0.0.0
YEELIGHT_IOT_MCP_PATH/mcpStreamable HTTP path
YEELIGHT_IOT_MCP_HTTP_TIMEOUT15Upstream timeout in seconds
YEELIGHT_IOT_MCP_FETCH_NODES_MAX_SIZE300Maximum list page size
YEELIGHT_IOT_MCP_NACOS_ENABLEDfalseEnable optional service registration
YEELIGHT_IOT_MCP_LOG_DIR./logs/yeelight-online-iot-mcp-serverLog directory

Test

uv run --extra test pytest -q

Tests cover JWT claim handling, multi-Region routing, local Profile isolation, Pro home fallback, authorization normalization, pagination, redacted plans, dry-run defaults, confirmation guards, and configuration overrides. They do not call the live Yeelight cloud.

License

Apache License 2.0. See LICENSE and NOTICE.

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