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Rachio MCP

by rwestergrenversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.rwestergren/rachio-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: RACHIO_ACCESS_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: RACHIO_ACCESS_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • RACHIO_ACCESS_TOKEN secret required 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account rwestergren, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32708 servers in this category
  • Published to the registry more recently than 23% of the other 32708 servers in this category
  • Basic checks equal to or better than 100% of the other 32708 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Rachio MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: RACHIO_ACCESS_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, OpenTakeoff

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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

Runs in the cloud★ 211Updated 2 days ago
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OpenTakeoff

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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