The Receptionist monday.com

When visit: queued in The Receptionist, sync it to monday.com.

When a visitor is queued in The Receptionist, create a tracking item in monday.com.

Try:

See all The Receptionist + monday.com integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

The Receptionist Explore The Receptionist →

Triggers
Door unlocked

Fires when a lock managed by The Receptionist is unlocked.

Access granted

Fires when The Receptionist grants someone access to a space.

Guest checked in

Fires when a visitor or guest checks in via The Receptionist.

Actions
Issue an access code

Creates a new access code or key via The Receptionist.

Revoke access

Revokes a guest's or employee's access in The Receptionist.

Log a visitor

Registers a visitor or guest in The Receptionist.

monday.com Explore monday.com →

Triggers
New task created

Fires when a new task, job or item is created in monday.com.

Task completed

Fires when a task in monday.com is marked complete.

Due date approaching

Fires when a task's due date in monday.com is coming up.

Status changed

Fires when a task, job or project changes status in monday.com.

Actions
Create task

Creates a new task, job or item in monday.com.

Update task

Updates a task's status or assignee in monday.com.

Add comment

Posts a comment on a task in monday.com.

Assign task

Assigns a task in monday.com to a team member.

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FAQ

Common questions

Can Knit build “When visit: queued in The Receptionist, sync it to monday.com.” between The Receptionist and monday.com?

Yes — describe it in the box above and Knit's Integrations Agent researches The Receptionist and monday.com's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

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