Teamwork.com ChatGPT App Review

Quick answer

Worth using?

Conditional — Doc-grounded via Teamwork.com's own launch post, its MCP-connector page, and OpenAI's connector doc; a hands-on in-chat test is still pending, so the entry is Doc-verified, not hands-on Verified. The standout fit is agency client-delivery: cross-project status and workload checks in chat, on any paid ChatGPT plan, with an explicit no-training data commitment. Read-only, so it informs rather than acts. Sub-scores reflect documented capability, not a live test.

Best for

Agencies and services teams running client delivery on Teamwork.com

Skip if

Writing back to Teamwork.com from chat, or free (non-paid) ChatGPT — the connector is read-only and needs a paid plan

Editorial Score

70/100

Quick verdict

Doc-grounded via Teamwork.com's own launch post, its MCP-connector page, and OpenAI's connector doc; a hands-on in-chat test is still pending, so the entry is Doc-verified, not hands-on Verified. The standout fit is agency client-delivery: cross-project status and workload checks in chat, on any paid ChatGPT plan, with an explicit no-training data commitment. Read-only, so it informs rather than acts. Sub-scores reflect documented capability, not a live test.

Overview

The Teamwork.com connector (announced October 24, 2025) lets ChatGPT securely access your projects, milestones, tasks, and subtasks over the Model Context Protocol to answer questions. You can pull cross-project status summaries, check team workloads, and draft project plans without leaving chat. It is read-only — documentation does not indicate write-back to Teamwork.com. Unusually for this connector class, it works on any paid ChatGPT plan: Plus, Pro, Business, Enterprise, and Edu (not Business-only). Teamwork.com states your data is never used to train third-party models and runs through OpenAI's Managed Connector Platform under its SOC 2 compliance. Best fit: agencies and services teams running client delivery on Teamwork that want status and planning context in chat.

Tested prompts

Real prompts we ran in ChatGPT to evaluate this app.

1. Prompt 1

   “Give me a cross-project status summary and flag any team that's overloaded this week.”

   Result

   Per Teamwork.com's documented capability: returns cross-project status and surfaces team-workload pressure from project and task data.

Test results

Doc-grounded via Teamwork.com's launch post (Oct 24, 2025), its 'How ChatGPT works with Teamwork.com via the MCP connector' page (which states the connector works on ChatGPT Plus/Pro/Business/Enterprise/Edu), and OpenAI's synced-connector doc. Capability claims (read-only, MCP-based, cross-project status, paid-plan availability, no-training commitment) come from those sources; a hands-on in-chat editorial test is still pending, so the status is 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.

• Move from idea to execution faster with the Teamwork.com-ChatGPT Connector — Teamwork.com, Oct 24, 2025
• Teamwork.com — app with sync — OpenAI

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

• Usefulness25%74

  Does it actually solve a real problem inside ChatGPT?

• Reliability20%70

  Does it consistently return correct, complete results?

• Ease of use15%72

  Is it discoverable, predictable, and forgiving?

• Setup10%68

  How quickly can a real user get to first value?

• In-chat experience10%72

  Does it feel native inside ChatGPT, or grafted on?

• Privacy clarity10%78

  Are permissions, scopes, and data flows clearly disclosed?

• Value10%72

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

Teamwork.com compared with

• ClickUp vs Teamwork.com in ChatGPT— ClickUp edges out Teamwork.com on overall editorial score (73 vs 70). Teams on ClickUp (Business/Enterprise/Edu ChatGPT plans) that want chat-driven workload and project-risk analysis → start with ClickUp.
• GitLab Issues vs Teamwork.com in ChatGPT— GitLab Issues edges out Teamwork.com on overall editorial score (71 vs 70). Engineering teams on GitLab (Business/Enterprise/Edu ChatGPT plans) that want issue and merge-request context inside chat → start with GitLab Issues.
• Teamwork.com vs Zapier in ChatGPT— Zapier edges out Teamwork.com on overall editorial score (81 vs 70). Existing Zapier users → start with Zapier.

Final verdict

Doc-grounded via Teamwork.com's own launch post, its MCP-connector page, and OpenAI's connector doc; a hands-on in-chat test is still pending, so the entry is Doc-verified, not hands-on Verified. The standout fit is agency client-delivery: cross-project status and workload checks in chat, on any paid ChatGPT plan, with an explicit no-training data commitment. Read-only, so it informs rather than acts. Sub-scores reflect documented capability, not a live test.

Frequently asked questions

Which ChatGPT plans support the Teamwork.com connector?

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Per Teamwork.com, it works on any paid ChatGPT plan — Plus, Pro, Business, Enterprise, and Edu — not Business-only. It does not work on the free plan.

Does Teamwork.com use my data to train AI models?

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No. Teamwork.com states private data in Teamwork.com is never used to train third-party models including OpenAI's; the connector accesses data in real time to answer queries and does not store it for training.