SurePetcare

io.github.dirkjanfaberv0.3.0更新于 Oct 3, 2026

Unofficial MCP server for SurePetcare devices: SureFlap pet/cat flaps and SureFeed feeders.

概览

AI 生成的概览

非官方 MCP 服务器,让助手读取 SurePetcare 宠物位置并控制 SureFlap 门锁、喂食器和集线器 LED。

功能
连接非官方的 SurePetcare 云端 API,提供宠物与设备相关工具。可列出宠物及其室内/室外位置,获取包含芯片标签信息的原始宠物数据,列出设备及其实时锁状态和宵禁时间表,设置 SureFlap 猫门锁状态,重命名设备,手动标记宠物在室内或室外,设置集线器 LED 环亮度,并按日期范围返回室内/室外活动统计。
适用场景
适合拥有 SureFlap 猫门、SureFeed 喂食器或 SurePetcare 集线器的用户,希望助手查看宠物位置、调整锁状态或获取活动报告。这是社区集成,并非 Sure Petcare 官方产品。
运行要求
通过 npm 包 mcp-server-surepetcare 以 stdio 在本地运行(需要 Node.js/npx),也可用 HTTP 模式接入 claude.ai 连接器。需要 SurePetcare 账户邮箱 SUREPETCARE_EMAIL 和密码 SUREPETCARE_PASSWORD;SUREPETCARE_DEVICE_ID 可选。HTTP 模式还需 MCP_PUBLIC_URL 和 MCP_OWNER_PASSWORD,以及公网 HTTPS 地址和网络访问。
安装前请注意
需要把 SurePetcare 账户密码放在 SUREPETCARE_PASSWORD 中,请妥善保管。工具会改动真实硬件:set_lock_state 可上锁或解锁猫门,rename_device 和 set_led_mode 会更改设备设置,set_pet_location 会覆盖记录的位置。HTTP 模式下,任何知道所有者口令或持有令牌的人都能授权客户端并解锁猫门,请使用强 MCP_OWNER_PASSWORD,且不要把端口直接暴露到公网。该 API 为非官方逆向工程,可能随时失效。

安装

在 SourceWeft 中

  1. 打开 控制台中的 SurePetcare,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

mcp-server-surepetcare

[CI]

MCP (Model Context Protocol) server for the SurePetcare cloud API. Exposes pet location monitoring, SureFlap lock control, device renaming, and hub LED control as MCP tools.

Disclaimer: This project is not affiliated with, endorsed by, or in any way associated with Sure Petcare Ltd. It is an independent, community-developed integration created by happy users of their hardware and software. SurePetcare, SureFlap, and SureFeed are trademarks of Sure Petcare Ltd. Use of this package is at your own risk. The underlying API is unofficial and reverse-engineered by the community - it may change or break without notice.

Tools

ToolDescription
list_petsList all pets and their current locations (inside/outside)
get_pet_detailsGet raw pet data including microchip tag information
list_devicesList all SurePetcare devices, including live lock state and curfew schedule
set_lock_stateSet the lock state of a SureFlap cat flap
rename_deviceRename a device, re-asserting any explicit lock override so the rename can't silently unlock it
set_pet_locationManually mark a pet inside/outside (e.g. after letting them through a door other than the flap)
set_led_modeSet the hub's LED ring brightness (off/bright/dimmed)
get_pet_reportGet aggregated inside/outside activity stats for a pet over a date range

Lock state values

ValueMeaning
0Unlocked (both directions)
1Locked in (entry only)
2Locked out (exit only)
3Locked (both directions)

LED mode values

ValueMeaning
0Off
1Bright
4Dimmed

Configuration

Set the following environment variables before starting the server:

bash
export SUREPETCARE_EMAIL="[email protected]"export SUREPETCARE_PASSWORD="yourpassword"export SUREPETCARE_DEVICE_ID="stable-uuid"   # optional, auto-generated if omitted

Usage with Claude Desktop

Add to your claude_desktop_config.json:

json
{  "mcpServers": {    "surepetcare": {      "command": "npx",      "args": ["mcp-server-surepetcare"],      "env": {        "SUREPETCARE_EMAIL": "[email protected]",        "SUREPETCARE_PASSWORD": "yourpassword"      }    }  }}

Remote use: claude.ai connector (HTTP + OAuth)

To use the server from claude.ai and the Claude mobile apps, run it in HTTP mode on an always-on machine and add it as a custom connector. claude.ai connects from the internet, so the server needs a public https:// URL. A Cloudflare Tunnel or Tailscale Funnel gives you one without opening ports on your router. Private overlay networks such as ZeroTier or plain Tailscale aren't enough: claude.ai connects from Anthropic's servers, not from your devices.

HTTP mode is single-user: when you connect Claude, the server shows a page asking for your owner passphrase. Anyone who knows it can authorize a client, and anyone with a token can unlock your cat flap - pick a strong one.

bash
npx mcp-server-surepetcare --http   # or MCP_TRANSPORT=http
VariableDefault
MCP_PUBLIC_URL(required)The https:// URL claude.ai reaches the server on
MCP_OWNER_PASSWORD(required)Passphrase for authorizing Claude, at least 12 characters
MCP_HOST127.0.0.1Interface to listen on; the Docker image sets 0.0.0.0
MCP_PORT3000
MCP_STATE_FILE~/.mcp-server-surepetcare/oauth-state.jsonRegistered clients and refresh-token hashes, so Claude stays connected across restarts

plus the SUREPETCARE_* variables from Configuration. Set SUREPETCARE_DEVICE_ID to a fixed UUID, or every restart looks like a new device logging in.

Docker (e.g. on a Raspberry Pi)

Each release publishes ghcr.io/dirkjanfaber/mcp-server-surepetcare for amd64, arm64 and arm/v7 (32-bit Raspberry Pi OS), tagged with the version and latest. Publish its port on loopback only, so the tunnel is the only way in:

yaml
# docker-compose.ymlservices:  surepetcare-mcp:    image: ghcr.io/dirkjanfaber/mcp-server-surepetcare:latest   # or pin a version    restart: unless-stopped    env_file: .env   # SUREPETCARE_*, MCP_PUBLIC_URL, MCP_OWNER_PASSWORD    ports:      - "127.0.0.1:3200:3000"    volumes:      - surepetcare-data:/datavolumes:  surepetcare-data:

With Tailscale Funnel (no domain needed), run sudo tailscale funnel --bg 3200 and use the URL tailscale funnel status shows as MCP_PUBLIC_URL.

claude.ai only connects on port 443, so Funnel's other ports (8443, 10000) don't work for a connector. If the machine's own name is already taken by another server, give this one its own tailnet machine with a Tailscale container next to it. Drop the ports: mapping above, set MCP_PUBLIC_URL to https://surepet.<tailnet>.ts.net, and add:

yaml
  surepetcare-tailscale:    image: tailscale/tailscale:latest    hostname: surepet    restart: unless-stopped    environment:      TS_HOSTNAME: surepet      TS_AUTHKEY: ${TS_AUTHKEY}   # only used for the first login      TS_STATE_DIR: /var/lib/tailscale      TS_SERVE_CONFIG: /config/serve.json      TS_USERSPACE: "true"    volumes:      - surepetcare-tailscale:/var/lib/tailscale      - ./surepet-ts:/config:ro

with surepetcare-tailscale: added under volumes:, and surepet-ts/serve.json:

json
{  "TCP": { "443": { "HTTPS": true } },  "Web": {    "${TS_CERT_DOMAIN}:443": {      "Handlers": { "/": { "Proxy": "http://surepetcare-mcp:3000" } }    }  },  "AllowFunnel": { "${TS_CERT_DOMAIN}:443": true }}

Generate the auth key in the Tailscale admin console under Settings → Keys. Without one, the container prints a login link that expires after about a minute. Once logged in, the machine stays logged in through the volume and the key can be removed.

With a Cloudflare Tunnel (needs a domain on Cloudflare), point a public hostname at the server instead. Don't put Cloudflare Access in front of it: claude.ai can't get past its login page.

Check the public URL before connecting Claude:

bash
curl https://<your public host>/.well-known/oauth-authorization-server

It should return JSON whose issuer matches MCP_PUBLIC_URL.

Update with docker compose pull && docker compose up -d. The server trusts one proxy hop (X-Forwarded-For from the tunnel in front of it) for rate limiting. Don't also publish its port directly to the internet.

Connecting Claude

In claude.ai: Settings → Connectors → Add custom connector, with URL https://<your public host>/mcp. Claude registers itself, opens the passphrase page, and once you allow it, the tools show up in claude.ai and the mobile apps.

References

来源:README.md,提交 590e092

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版本历史

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  1. v0.3.0最新Oct 3, 2026