关于 Cloud Studio Gear
Cloud Studio Gear 是面向 Gear IoT 账户的只读 MCP 服务,供连接的客户端查询站点、设备状态、实时读数、历史数据和警报。每次请求使用用户自己的访问令牌,并遵循其 Gear 权限。
主要功能
- 01列出站点与设备
- 02查询设备读数和状态
- 03按时间范围读取历史数据
- 04筛选不同状态的警报
- 05按名称、地址或序列号查找设备
- 06按用户权限隔离数据
适用场景
- 01查看仓库设备是否离线
- 02检查设备当前读数与电池信息
- 03分析传感器的历史温度
- 04按站点或设备排查警报
MCP 相关
该 MCP 服务向客户端提供六种只读 Gear 查询工具。它支持本地 stdio 和 Streamable HTTP;请求使用用户 Gear 访问令牌,不提供设备控制或配置修改。
配置
本地服务的配置在各客户端中通用,复制后粘贴到客户端的 MCP 配置文件即可。
工具
本地服务需要在你的电脑上运行后才能读取工具,维护者暂未提供工具列表。
README 原文English
来自项目 READMEREADME 暂无中文译文,以下为英文原文;中文介绍见上方。
Gear MCP server
An MCP server for the Cloud Studio Gear IoT platform. It lets Claude, ChatGPT, Cursor, VS Code or any other MCP client read a Gear account: sites, devices and their status, live values, history and alarms. Ask "which freezers in the Madrid warehouse have been offline since yesterday?" and the assistant finds out on its own.
It only reads. No tool sends commands to devices or changes configuration, and every call to Gear carries the user's own access token, so the assistant sees exactly what that user sees in Gear and nothing else.
Tools
| Tool | What it answers |
|---|---|
list_facilities | Which sites do I have? |
list_devices | Which devices are in this site, and which are offline, silent or alarmed? (only_problems) |
get_device | What is this device reading right now? Values with units, battery, open alarms, time of last data. |
get_endpoint_history | How did this temperature change between two dates? Points plus min, max and average, up to 5,000. |
list_alarms | Open, closed or all alarms of a client, site, device or endpoint. |
find_devices | Where is the device called "freezer 3", with address 70B3D57E… or serial SN-0042? |
All six are marked read-only (readOnlyHint) for clients that ask before running a tool.
What you need
-
Node.js 20 or newer.
-
The URL of your Gear instance, for example
https://gear.cloud.studioor your own domain. -
A Gear access token for the user the assistant will act as. Ask your Gear administrator for:
- an application with these API permissions: Accounts.Login, Accounts.Read, Facilities.Read, Facilities.ReadAlarms, Devices.Read and Endpoints.Read (Manager → Global → Applications);
- a user limited to the client the assistant should see. Every answer is filtered by this user's permissions, so a user who sees one client gives an assistant that sees one client.
With both, get a token with
AdminService.LoginWithExpirationor a persistent access token. The Gear API skill explains the login in detail.
Instead of a token you can give the server GEAR_APP_TOKEN, GEAR_EMAIL and GEAR_PASSWORD: it logs in at
start with a token that lasts 12 hours. This does not work for users with two-factor authentication.
Install
The package runs with npx; there is nothing to install by hand.
Claude Code
claude mcp add gear \
--env GEAR_URL=https://gear.example.com \
--env GEAR_TOKEN=<access token> \
-- npx -y @cloudstudioiot/gear-mcp
Claude Desktop
Settings → Developer → Edit Config, and add to claude_desktop_config.json:
{
"mcpServers": {
"gear": {
"command": "npx",
"args": ["-y", "@cloudstudioiot/gear-mcp"],
"env": {
"GEAR_URL": "https://gear.example.com",
"GEAR_TOKEN": "<access token>"
}
}
}
}
Restart Claude Desktop. The six tools appear under the tools icon.
Cursor
The same mcpServers block as Claude Desktop, in ~/.cursor/mcp.json (all projects) or .cursor/mcp.json
(one project).
VS Code
In .vscode/mcp.json. VS Code asks for the token once and keeps it out of the file:
{
"inputs": [
{ "type": "promptString", "id": "gear-token", "description": "Gear access token", "password": true }
],
"servers": {
"gear": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@cloudstudioiot/gear-mcp"],
"env": { "GEAR_URL": "https://gear.example.com", "GEAR_TOKEN": "${input:gear-token}" }
}
}
}
Other clients
Any client that starts a local MCP server over stdio works: the command is
npx -y @cloudstudioiot/gear-mcp with GEAR_URL and GEAR_TOKEN in its environment.
Running it as a remote server
The server also speaks Streamable HTTP, for a team that wants one shared server instead of one per laptop:
GEAR_URL=https://gear.example.com npx -y @cloudstudioiot/gear-mcp --http --port 3333 --host 127.0.0.1
- Endpoint
POST /mcp; health checkGET /health. - Each request must carry the user's Gear token:
Authorization: Bearer <access token>. Without it the answer is 401. The server is stateless: it keeps no sessions and no tokens, and each request runs with its own token, so two users on the same server never see each other's data. - It listens on
127.0.0.1by default. To expose it, put it behind HTTPS (a reverse proxy). Tokens must never travel in clear text.
Cloud Studio does not host a public instance of this server.
Good to know
- Times are UTC. Dates are accepted as
2026-10-01or2026-10-01T08:00:00Z. last_data_utcis the newest reading of any of the device's endpoints, ornullif it never sent data.- A battery's
percentageisnullwhen Gear has a voltage but no percentage for it; readvoltagethen. The server does not estimate one from the other. - Gear returns at most 500 rows per API call.
get_endpoint_historypages for you up to 5,000 points and setstruncatedwhen there is more.list_devicescounts up to 500 open alarms per site (open_alarms_capped), andfind_devicessearches up to 200 sites. - Gear's errors come back as tool errors with Gear's code, for example
Gear 8001: The access token is invalid or has expired, orGear 8004when the user has no access to what was asked.
Develop
git clone https://github.com/CloudStudioIoT/gear-mcp
cd gear-mcp
npm install
npm test # 25 tests against recorded response shapes, no network
npm run build
GEAR_URL=... GEAR_TOKEN=... node dist/src/index.js
npm run test:isolation checks, against a real instance, that two users of different clients each see only
their own data in all six tools, also when one passes the other's IDs by hand. It needs GEAR_URL,
GEAR_TOKEN_A and GEAR_TOKEN_B, and only reads.
To build your own integration on the Gear API rather than through an assistant, see the Gear API skill and the API documentation.
Security
Report vulnerabilities as described in https://cloudstudioiot.com/.well-known/security.txt.
License
MIT © Cloud Studio IoT, S.L.
评论
一个开放协议,规定了 AI 应用如何以统一方式连接外部工具与数据源。客户端负责与模型对话,MCP 服务负责提供工具、资源和提示模板,两者通过标准消息通信,同一个服务可以被不同客户端复用。