Connect Workiz to your AI assistant
No catalog roulette. This page shows exactly where Workiz stands as a hosted MCP connector, what field service tools you would get, and how writes stay guarded.
Every system here gets an honest, affirmative path: verified and instant, buildable and provisioned, human-assisted, or a done-for-you conversation. Zero dead ends.
Where Workiz stands today
Jobs, dispatch, technicians, and visit schedules: the field questions an office assistant should be able to answer.
Also searched as work iz, send a job. The vendor's developer documentation lives at developer.workiz.com.
What a Workiz connector would expose
The proposal you review during intake, separated into Read and Write. Nothing writes without asking you first.
Extracted from the vendor's API docs and human-reviewed before going live. Writes start one notch stricter.
- search_jobs
Find jobs by customer, address, or status
- get_job
Fetch one job with its schedule and line items
- list_schedule
List scheduled visits for a day or technician
- get_customer
Look up a customer and their job history
- create_jobconfirm
Create a job for a customer
fields: customer, description, scheduled_at
- update_job_statusconfirm
Change a job's status or assigned technician
fields: status, technician
- add_job_noteconfirm
Attach a note to a job
fields: body
- cancel_jobdestructivedry-run
Cancel a scheduled job
fields: id, reason
Every write asks first: it pauses on a preview of the exact change and runs only when you approve it, before anything reaches Workiz. Turn off anything you never want your AI to touch.
From "Workiz" to a working connector URL
Designed for operators, not developers. You never read API docs, manage tokens, or touch a line of code.
- 01
Name it
A 30-second eligibility check confirms your AI client accepts a custom connector URL, then you pick the software. This page pre-fills that step.
- 02
Describe what you need
Plain language, not configuration. What should the assistant be able to look up, and what should it be able to change?
- 03
Review your Connector Blueprint
The exact Read and Write tool list, before you pay anything. Every write ships on in confirm mode and asks before it runs, every tool is individually toggled, and anything destructive carries a distinct warning.
- 04
Deploy and paste the URL
You get a hosted connector URL plus paste-in instructions matched to your AI client, and a live test panel that confirms the connection.
Workiz runs as a one-account connector
Workiz supports a single credential, so the connector runs in Solo mode: it acts as one account and says so in plain language at auth time and in the dashboard. megamcp's own activity log still separates who did what by connection token.
You paste an API key generated in Workiz. It is encrypted at rest, sent only to Workiz's API, and destroyed within 24 hours if you cancel.
Write access to Workiz your IT team will approve
Nothing executes unapproved. Every write runs behind a human confirmation of the exact change, destructive actions demonstrate in dry-run until you graduate them, and any tool can be turned off.
Confirm mode
Enabled writes run through Multi Round-Trip Requests: the tool pauses, shows a human-readable preview of the exact change, and only proceeds with approval. Nothing reaches Workiz on the model's intent alone.
Guardrails
Any tool can be turned off. Field-level constraints restrict what can be touched, per-tool rate limits are enforced at the gateway edge, and destructive operations ship in dry-run, demonstrating what they would do until you graduate them.
Activity log
Every tool call is logged: who, what, when, result. Write actions and confirmations are highlighted, redaction controls decide how much argument data is stored, and the log is append-only, with updates and deletes refused by the database.
Connecting Workiz: the specifics
Can my AI assistant write to Workiz?
Yes, with guardrails. Write tools work out of the box in confirm mode: every write asks first, pausing on a preview of the exact change before anything reaches Workiz. Destructive operations ship in dry-run and never execute until you graduate them, and you can turn off any tool you never want touched.
Is it safe to connect Workiz to an AI assistant?
Safety is the architecture, not a setting. Every write asks first: it pauses on a human confirmation with the exact change previewed before it reaches Workiz. Destructive operations demonstrate in dry-run and never execute until you graduate them, any tool can be turned off, and every call lands in an activity log with redaction controls.
If my team uses a Workiz connector, whose name is on the actions?
Workiz supports a single credential, so the connector runs in Solo mode and discloses it plainly: the connector acts as one account, stated at auth time and in the dashboard. megamcp's own activity log still preserves per-connection traceability, because every connection has its own token.
Which AI clients work with a Workiz connector?
Any client that accepts a remote MCP connector URL: Claude (Free, Pro, Max, Team, and Enterprise), ChatGPT on paid plans with developer mode enabled, Cursor, and other MCP-compatible clients. Team and Enterprise workspaces may need an admin to allow custom connectors first.
How long until a Workiz connector is live?
Typically 24 to 72 hours. The mapping is generated from the Workiz API documentation and human-reviewed before it goes live.
Anything specific to the Workiz API worth knowing?
Yes. From our index notes on Workiz: Field service management; API tokens generated in-app.
More Field Service systems
Same category, same connector quality. Every one gets an honest verdict.
See all Field Service connectors or browse the full directory.
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