# Routine Run Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Routine Run

Create step-by-step routines and open them in the Routine Run iPhone app

- Record: https://musedirectory.ai/connector/routine-run-2
- Category: Productivity
- Developer: Routine Run (https://routinerun.com/developers)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 11ms, checked 2026-10-29T10:31:06Z
- Endpoint: https://api.routinerun.com/mcp/public
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-29T06:51:50Z)
- Source: Found in the official MCP Registry (com.routinerun/routine-writer) https://registry.modelcontextprotocol.io/v0/servers?search=com.routinerun%2Froutine-writer

Write structured routines with multiple steps and actions, then get a shareable link that opens directly in Routine Run on iPhone for saving. Browse built-in starter routines for mornings, focus, chores and more.

Example request: "Create a morning routine with steps for exercise, shower, and breakfast, then save it to my Routine Run app"

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Routine Run to help me. It is a free service with an MCP server at https://api.routinerun.com/mcp/public. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- how_to_write_a_routine: The JSON form Routine Run reads a routine in: every field and every action a step can take. Use it when writing a routine for routine_link, start_new_run or propose_new_routine.
- routine_link: Checks a routine written in the form how_to_write_a_routine describes and returns a link. Opened on an iPhone with Routine Run, it shows the routine on the app's review screen, where the person saves it or not. Nothing is kept here. Give the person the link and the JSON too, in c
- find_starter_routine: Searches the routines the app ships — mornings, focus, on call, chores and more — by words in their name or description. Each comes with its steps and a link that adds it in the app.

Screening checks:
- MCP handshake: pass (Answered in 73ms)
- Domain against threat feeds (Cloudflare security DNS): pass (api.routinerun.com, routinerun.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (3 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 29 days ago)
- AI review of purpose and tool behavior: pass (No concerns)