原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Rachio MCP

作者:rwestergren版本 0.1.4i★ –i在你的电脑上运行
注册名称io.github.rwestergren/rachio-mcp

安装

概览

作者提供的说明(英文原文)

MCP server for Rachio sprinkler controllers — schedules, zones, and live watering control

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:RACHIO_ACCESS_TOKEN

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
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: RACHIO_ACCESS_TOKEN

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

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "rachio": {
      "command": "uvx",
      "args": [
        "rachio-mcp"
      ],
      "env": {
        "RACHIO_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add rachio --env RACHIO_ACCESS_TOKEN=your-value -- uvx rachio-mcp

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": {
    "rachio": {
      "command": "uvx",
      "args": [
        "rachio-mcp"
      ],
      "env": {
        "RACHIO_ACCESS_TOKEN": "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": {
    "rachio": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "rachio-mcp"
      ],
      "env": {
        "RACHIO_ACCESS_TOKEN": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • RACHIO_ACCESS_TOKEN 机密 必填 env
    Long-lived Rachio OAuth access token. Mint one with `rachio-mcp-token` (or `uvx --from rachio-mcp rachio-mcp-token`). The token lasts ~25 years and replaces sending your password to the MCP process.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 rwestergren 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32712 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32712 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 32712 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

Rachio MCP 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:RACHIO_ACCESS_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.4)于3个月前进入注册中心。

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。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Aiterm 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

Aiterm MCP

作者:kitepon

Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.

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。

rachio-mcp

An MCP (Model Context Protocol) server for Rachio sprinkler controllers, built on the reverse-engineered Android-app gRPC API.

The public Rachio API exposes only read-only access to schedules and a handful of single-action endpoints. This server instead talks to the same internal gRPC backend (cloud.rach.io:443) that the official mobile app uses, giving an agent the full set of operations: listing devices and zones, inspecting schedules, creating and previewing new schedules, updating and deleting them, starting and stopping manual zone runs, setting rain delays, and more.

⚠️ Unofficial. This server uses a reverse-engineered API. It works as of Rachio Android v4.21.18 and is not supported by Rachio. The schema can change without notice.

Features

  • Devices and zones — list controllers, sensors, and weather stations; inspect zone soil/nozzle/plant configuration and live state
  • Schedules — list, read, preview (dry-run), create, update, delete, copy, run, and skip schedules
  • Live control — stop watering, run specific zones manually, set rain delays, skip/pause/resume the currently-running zone
  • Context — calendar of upcoming runs, recent/past run history, active alerts, observed/forecast weather readings

Quick Start

1. Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Mint a long-lived access token

The MCP server itself never sees your Rachio password. Instead you mint a long-lived (~25-year) access token once, and supply only the token to the MCP client.

uvx --from rachio-mcp rachio-mcp-token

It will prompt for your Rachio email and password, then print a RACHIO_ACCESS_TOKEN value to paste into your MCP client config. The token remains valid until you change your password or explicitly log out from another device.

Or, if you'd rather have the commands on your PATH permanently, install once:

uv tool install rachio-mcp

Then rachio-mcp-token (and rachio-mcp itself) are available as regular commands.

For scripting (e.g. pipe into a password manager):

RACHIO_EMAIL=you@example.com RACHIO_PASSWORD=... \

uvx --from rachio-mcp rachio-mcp-token --json | jq .access_token

3. Configure your MCP client

uvx downloads and runs the server on demand — no separate install step required.

OpenCode (opencode.json)
{

"$schema": "https://opencode.ai/config.json", "mcp": { "rachio": { "type": "local", "command": ["uvx", "rachio-mcp"], "environment": { "RACHIO_ACCESS_TOKEN": "{env:RACHIO_ACCESS_TOKEN}" }, "enabled": true } } }

Claude Desktop (claude_desktop_config.json)
{

"mcpServers": { "rachio": { "command": "uvx", "args": ["rachio-mcp"], "env": { "RACHIO_ACCESS_TOKEN": "paste-your-token-here" } } } }

If a tool call later returns a "token rejected" error, rerun rachio-mcp-token to mint a fresh one and update the config.

Available Tools

24 tools over stdio transport.

Discovery
ToolDescription
list_devicesEvery device on the account — controllers, sensors, weather stations
get_deviceFull details + live state for a single device
list_zonesZones configured on a controller, with agronomic metadata
get_zoneFull detail for a single zone
get_calendarScheduled runs + skip events for a date range
get_run_historyObserved recent/past zone-run telemetry plus calendar context
get_active_alertsUnresolved alerts on a device or zone
get_weatherObserved + forecast weather readings for a location
Schedule CRUD
ToolDescription
list_schedulesFilter by device, location, zone, or schedule id
get_scheduleSingle schedule + its locations/devices
preview_scheduleDry-run — returns the Schedule that create_schedule would produce, including the server-generated human-readable summary. Never persists
create_scheduleCreate a new schedule
update_schedulePartial-merge edit: name, enabled, timing/criteria, day restrictions, and per-zone add/update/remove
delete_schedulePermanent, destructive
copy_scheduleDuplicate an existing schedule
run_scheduleTrigger an immediate run
skip_scheduleSkip or re-arm the next scheduled run
get_schedule_runsPast runs + skip events for a schedule
Live controller ops
ToolDescription
stop_wateringStop whatever is running
start_zonesStart one or more zones manually by zone number + duration
set_rain_delayDefer all schedules until a given time
skip_current_zoneSkip to the next zone in the active run
pause_wateringPause the current zone for N seconds
resume_wateringResume a paused run

All device_id, zone_id, schedule_id, and location_id parameters are UUIDs obtained from the list_* tools. Dates use YYYY-MM-DD (or MM-DD for annual-recurring schedules); times use HH:MM.

Recommended Workflow for Schedule Changes

  1. list_devices → pick your controller
  2. list_zones(device_id=...) → note each zone's id and zone_number
  3. list_schedules(device_id=...) and get_schedule(schedule_id=...) → understand what's already configured
  4. preview_schedule(...) → dry-run your proposed schedule. Read the returned summary string and the per-zone breakdown
  5. create_schedule(...) (same arguments) → commit
  6. get_schedule(schedule_id= ) → confirm
  7. delete_schedule(schedule_id= ) → rollback if needed

preview_schedule is safe to call repeatedly — it never writes anything.

To edit an existing schedule instead of recreating it, use update_schedule. It performs a partial merge: read the schedule with get_schedule, then pass only the fields you want to change (name, enabled, timing/criteria, days, or zones/zone_ids_to_remove). Omitted fields are left untouched.

How It Works

This server talks to cloud.rach.io:443 over TLS-protected gRPC, the same backend used by the Rachio Android app. Authentication uses the OAuth 2 password grant against oauth.rach.io/oAuth/token with the Android app's hardcoded client credentials.

The gRPC .proto definitions were recovered by decompiling the Rachio Android APK (v4.21.18) with jadx, extracting the embedded FileDescriptorProto payloads from the generated Java classes, and round-tripping them through protoc to produce clean .proto source. Pre-compiled Python stubs for the 40-odd messages/services used by the 23 MCP tools ship in src/rachio_mcp/proto/.

Regenerate those stubs any time the app's proto surface changes:

scripts/build_protos.sh

The stub generator reads from reverse-engineering/protos/, which is not shipped in the wheel but is kept alongside the source for future updates.

Python API

The MCP server wraps a standalone client you can use directly:

from rachio_mcp import RachioClient

c = RachioClient()

Discovery

for d in c.list_devices(): print(d["type"], d["id"], d.get("name"))

Preview a proposed schedule

preview = c.preview_schedule( name="Fall Lawn", schedule_type="FIXED", zones=[ {"device_id": " ", "zone_id": " ", "watering_time": 1200}, ], start_time="06:00", days=["WED"], annual_start="09-16", annual_end="11-15", smart_cycle=True, ) print(preview["summary"])

Commit

created = c.create_schedule(name="Fall Lawn", ...) print("created", created["id"])

Rollback

c.delete_schedule(created["id"])

The client reads RACHIO_ACCESS_TOKEN from the environment, derives the user's user_id lazily on first use (via LocationService.ListLocations), and keeps both in memory for the lifetime of the process. Nothing is written to disk.

Environment

VariableRequiredDescription
RACHIO_ACCESS_TOKENYesLong-lived bearer token minted by rachio-mcp-token. Valid for ~25 years unless revoked.
LOG_LEVELNoPython logging level (default: INFO). Logs go to stderr; stdio transport's stdout is reserved for the MCP protocol.
Minting a token (one-time setup)
VariableUsed byDescription
RACHIO_EMAILrachio-mcp-token onlyRachio account email. If unset, rachio-mcp-token prompts interactively.
RACHIO_PASSWORDrachio-mcp-token onlyRachio account password. If unset, rachio-mcp-token prompts interactively with a masked input.

Neither RACHIO_EMAIL nor RACHIO_PASSWORD is ever read by the MCP server itself — they exist only to feed the one-time token-mint CLI.

Transport

stdio only. Remote HTTP with OAuth 2.1 is not supported in v0.1.

License

MIT — see LICENSE.

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