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monday.com ChatGPT App Review

Query your monday.com boards in plain language from ChatGPT, with interactive UI components in the conversation.

Editorial73Needs verificationProductivityLast reviewed Aug 24, 2026

Reviewed by the ChatGPTAppsRank editorial team · How we test · No paid placements

Needs verification. Availability may vary. This app is included for tracking and verification in the ChatGPT app ecosystem.
TL;DR

Quick answer

Worth using?
ConditionalIn-chat experience is its best sub-score at 80, and for once that is a real differentiator rather than a consolation: monday.com documents UI components inside ChatGPT, so board data can be explored rather than flattened into a paragraph. Most connectors in this class return text and hope you can read it; a board is exactly the kind of data that suffers from that. Reading live rather than from a periodic index is the other advantage over sync-based connectors like Pipedrive — no staleness question. The limitation is the familiar one for this class and worth stating plainly: it is read-oriented, so it answers what is overdue and cannot then move the item. Status is Needs verification because monday.com's support article is unreadable to us — it returns 403, so we cite it by title and URL as our playbook requires — and the capability detail beyond that comes from third-party write-ups rather than a first-party announcement we could read.
Best for
Teams running work on monday.com who want status answers without building a view
Skip if
Updating boards — creating items and changing statuses are outside the connector's scope
Editorial Score
73/100

Quick verdict

In-chat experience is its best sub-score at 80, and for once that is a real differentiator rather than a consolation: monday.com documents UI components inside ChatGPT, so board data can be explored rather than flattened into a paragraph. Most connectors in this class return text and hope you can read it; a board is exactly the kind of data that suffers from that. Reading live rather than from a periodic index is the other advantage over sync-based connectors like Pipedrive — no staleness question. The limitation is the familiar one for this class and worth stating plainly: it is read-oriented, so it answers what is overdue and cannot then move the item. Status is Needs verification because monday.com's support article is unreadable to us — it returns 403, so we cite it by title and URL as our playbook requires — and the capability detail beyond that comes from third-party write-ups rather than a first-party announcement we could read.

Who should use it

Teams running work on monday.com who want status answers without building a view

Who should skip it

Updating boards — creating items and changing statuses are outside the connector's scope

Overview

monday.com's official connector lets ChatGPT read and query your boards conversationally — what is overdue on a launch board, how a sprint is tracking — pulled live rather than from a stale index. monday.com's own support documentation covers enabling monday UI components inside ChatGPT, which puts it in the small group of apps here that render something you can explore rather than only returning text. It is read-oriented: creating items, updating statuses and posting updates are not part of the documented connector scope.

Pros

  • Interactive UI components in the conversation, not just text
  • Reads live, so there is no sync-staleness question
  • Plain-language board questions instead of building a filtered view
  • Enabled from ChatGPT's own Apps & Connectors settings

Cons

  • Read-oriented — no creating items or changing statuses
  • monday.com's own documentation is not readable from here, so detail is thin
  • Needs a monday.com account
  • Board data is your team's planning and often client information

Test results

Not tested. monday.com's support article on enabling its UI components in ChatGPT is cited by title and URL because the page returns 403 to every tool available here. The read-oriented scope and the live-query behaviour come from third-party write-ups, which is why this is marked Needs verification rather than Doc-verified.

Sources & verification

Availability and capability claims on this page are grounded in the primary sources below — OpenAI's own documentation and release notes, or the vendor's own announcement.

Setup experience

Enabled from ChatGPT's Apps & Connectors settings against your monday.com account; monday.com describes the integration as already present on monday accounts.

In-chat experience

The strongest part. monday.com documents UI components rendering inside ChatGPT, so board data is explorable rather than flattened into prose.

Privacy and permissions

Boards typically hold project plans, internal deadlines and often client work, so this is your team's data plus, frequently, third parties'. Read-oriented scope limits the downside to disclosure rather than accidental change.

Pricing and value

No ChatGPT-side charge; the cost is the monday.com plan you already have. Value 72, limited by the read-only scope rather than price.

Requires a monday.com account. The connector is enabled on the ChatGPT side from Apps & Connectors; monday.com's own plan limits apply to the underlying data.

Score breakdown

How we score apps →

Each dimension is scored 0–100 based on hands-on testing. Weight shows the share of the final editorial score.

  • Usefulness25%78

    Does it actually solve a real problem inside ChatGPT?

  • Reliability20%74

    Does it consistently return correct, complete results?

  • Ease of use15%80

    Is it discoverable, predictable, and forgiving?

  • Setup10%76

    How quickly can a real user get to first value?

  • In-chat experience10%80

    Does it feel native inside ChatGPT, or grafted on?

  • Privacy clarity10%70

    Are permissions, scopes, and data flows clearly disclosed?

  • Value10%72

    Pricing, free tier quality, and overall value for money.

Best alternatives

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monday.com compared with

  • Adobe Acrobat vs monday.com in ChatGPTAdobe Acrobat edges out monday.com on overall editorial score (82 vs 73). Anyone who works with PDFs and wants a chat-first interface → start with Adobe Acrobat.
  • Aha! vs monday.com in ChatGPTmonday.com edges out Aha! on overall editorial score (73 vs 72). Teams running work on monday.com who want status answers without building a view → start with monday.com.
  • Airtable vs monday.com in ChatGPTAirtable edges out monday.com on overall editorial score (80 vs 73). Teams who already run on Airtable → start with Airtable.
  • Asana vs monday.com in ChatGPTAsana edges out monday.com on overall editorial score (75 vs 73). Teams on Asana who want to create and update tasks from chat (Asana-built app) or just pull status summaries (OpenAI connector) → start with Asana.
  • Calendly vs monday.com in ChatGPTmonday.com edges out Calendly on overall editorial score (73 vs 71). Teams running work on monday.com who want status answers without building a view → start with monday.com.
  • Dropbox vs monday.com in ChatGPTDropbox edges out monday.com on overall editorial score (74 vs 73). Teams on Dropbox → start with Dropbox.
  • Microsoft Excel vs monday.com in ChatGPTmonday.com edges out Microsoft Excel on overall editorial score (73 vs 72). Teams running work on monday.com who want status answers without building a view → start with monday.com.
  • GitHub vs monday.com in ChatGPTGitHub edges out monday.com on overall editorial score (86 vs 73). Engineers and technical reviewers → start with GitHub.
  • Gmail vs monday.com in ChatGPTGmail edges out monday.com on overall editorial score (82 vs 73). Anyone with a busy inbox → start with Gmail.
  • Google Calendar vs monday.com in ChatGPTGoogle Calendar edges out monday.com on overall editorial score (83 vs 73). Anyone juggling many meetings → start with Google Calendar.
  • Google Drive vs monday.com in ChatGPTGoogle Drive edges out monday.com on overall editorial score (85 vs 73). People with active Google Drive workflows → start with Google Drive.
  • Linear vs monday.com in ChatGPTLinear edges out monday.com on overall editorial score (79 vs 73). Engineering teams on Linear → start with Linear.
  • Lucid vs monday.com in ChatGPTLucid edges out monday.com on overall editorial score (74 vs 73). Teams on Lucid who want a discussion to become a diagram without redrawing it → start with Lucid.
  • monday.com vs Notion in ChatGPTNotion edges out monday.com on overall editorial score (84 vs 73). Knowledge workers with serious Notion setups → start with Notion.
  • monday.com vs Microsoft OneDrive in ChatGPTMicrosoft OneDrive edges out monday.com on overall editorial score (74 vs 73). Microsoft 365 organizations → start with Microsoft OneDrive.
  • monday.com vs Outlook Calendar in ChatGPTOutlook Calendar edges out monday.com on overall editorial score (75 vs 73). Microsoft 365 users who want scheduling answers in the conversation they are already having → start with Outlook Calendar.
  • monday.com vs Outlook Email in ChatGPTOutlook Email edges out monday.com on overall editorial score (79 vs 73). Anyone on Microsoft 365 whose email is the record of their work → start with Outlook Email.
  • monday.com vs Microsoft PowerPoint in ChatGPTmonday.com edges out Microsoft PowerPoint on overall editorial score (73 vs 68). Teams running work on monday.com who want status answers without building a view → start with monday.com.
  • monday.com vs Replit in ChatGPTReplit edges out monday.com on overall editorial score (81 vs 73). Builders shipping prototypes or small apps without a full IDE → start with Replit.
  • monday.com vs SharePoint in ChatGPTSharePoint edges out monday.com on overall editorial score (74 vs 73). Organisations with a large SharePoint estate, where finding and tracing documents is the real work → start with SharePoint.
  • monday.com vs Microsoft Word in ChatGPTmonday.com edges out Microsoft Word on overall editorial score (73 vs 70). Teams running work on monday.com who want status answers without building a view → start with monday.com.
  • monday.com vs Zoom in ChatGPTmonday.com edges out Zoom on overall editorial score (73 vs 70). Teams running work on monday.com who want status answers without building a view → start with monday.com.

Final verdict

Editorial73Worth using? Conditional

In-chat experience is its best sub-score at 80, and for once that is a real differentiator rather than a consolation: monday.com documents UI components inside ChatGPT, so board data can be explored rather than flattened into a paragraph. Most connectors in this class return text and hope you can read it; a board is exactly the kind of data that suffers from that. Reading live rather than from a periodic index is the other advantage over sync-based connectors like Pipedrive — no staleness question. The limitation is the familiar one for this class and worth stating plainly: it is read-oriented, so it answers what is overdue and cannot then move the item. Status is Needs verification because monday.com's support article is unreadable to us — it returns 403, so we cite it by title and URL as our playbook requires — and the capability detail beyond that comes from third-party write-ups rather than a first-party announcement we could read.

Frequently asked questions

Can it update my boards?
Not within the documented connector scope. It reads and queries; creating items, changing statuses and posting updates are not covered. For write automation people generally reach for monday.com's API or an automation tool instead.
Is the data live or synced?
Live-queried, per the available descriptions, rather than indexed on a schedule. That avoids the staleness question that applies to sync-based connectors like Pipedrive, which refreshes every 30 minutes.
monday.com or Asana in ChatGPT?
Whichever runs your work. monday.com's documented in-chat UI components are the one genuine experience difference — board data is much better explored than described.

Used this app inside ChatGPT? Share your experience

Community feedback coming soon. For now, contribute a correction or a missing app via the links below.

Use cases

  • Asking what is overdue across a board
  • Sprint and project status summaries
  • Finding items by description rather than by filter
  • Exploring board data through in-chat UI components

Trust

Editorial Score, not user rating. Community feedback coming soon.

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