What
Connect your preferred AI assistant, such as Claude or ChatGPT, to Teamwork.com so you can manage work using natural language.
Why
  • Turn meeting notes, client briefs, support requests, and documentation updates into action.
  • Ask your AI assistant to help with practical work, such as creating projects, updating tasks, reviewing tickets, and drafting content.
  • Reduce manual admin while keeping work connected to your Teamwork.com data and account access.
Who
Teams using Teamwork.com with AI assistants such as Claude or ChatGPT.
When
Use the Teamwork.com MCP server when you want your AI assistant to help manage projects, support work, documentation, workload, budgets, and time tracking in Teamwork.com.

Use AI assistants with Teamwork.com

The Teamwork.com Model Context Protocol (MCP) server powers the connection between AI assistants and Teamwork.com. It helps you turn meeting notes, client briefs, project updates, and documentation needs into action using your Teamwork.com account access.

Use it to support everyday project management workflows, reduce repetitive admin, and get help acting on the information already managed in Teamwork.com.

By connecting your AI assistant to Teamwork.com, teams can spend less time searching for information and updating work manually, and more time acting on project, client, and operational priorities.

On this page

Get help with everyday Teamwork.com workflows

The Teamwork.com MCP server helps your AI assistant support project management AI workflows across Teamwork.com using natural language.

Quickly understand where work needs attention

Review active projects, identify overdue work, check workload capacity, and surface stalled activity before planning meetings or delivery reviews.

Turn conversations into action

Create projects, tasks, milestones, and follow-up work from meeting notes, implementation plans, support conversations, or client briefs.

Prepare for client and leadership updates

Quickly prepare project updates, identify delivery risks, and review workload or budget concerns before client meetings, QBRs, or leadership reviews.

Review support, documentation, and workload

Review customer support activity, search Spaces documentation, track workload capacity, and review project time data across Teamwork.com.

Ask for the outcome you need. The Teamwork.com MCP server helps your AI assistant take supported actions in Teamwork.com using the access available to the connected account.

Connect Teamwork.com to your AI assistant

Most MCP-compatible AI assistants follow a similar setup flow: add the Teamwork.com MCP server, enter the dedicated server URL, authenticate with Teamwork.com, and approve access permissions.

Current MCP-compatible AI assistants commonly include Claude and ChatGPT, with additional MCP-supported platforms expected over time.

  1. Open your AI assistant or integration platform: Go to the area where you manage connectors, integrations, or apps.
  2. Add a custom MCP connector: Create a new custom connector or MCP server connection.
  3. Enter the Teamwork.com MCP server URL: Use the dedicated Teamwork.com MCP server URL: https://mcp.ai.teamwork.com.
  4. Authenticate with Teamwork.com: Sign in using your Teamwork.com account when prompted.
  5. Approve access: Review and approve the requested permissions for the connection.
  6. Start using natural language prompts: Ask your AI assistant to help with supported Teamwork.com workflows.

Connect with Claude or ChatGPT

Claude and ChatGPT both use the same Teamwork.com MCP server URL, though the setup flow differs slightly by platform.

Claude
  1. Open Claude desktop settings.
  2. Go to Connectors.
  3. Add a custom connector.
  4. Enter https://mcp.ai.teamwork.com.
  5. Authenticate with Teamwork.com and approve access.


ChatGPT
  1. Open ChatGPT settings.
  2. Go to Apps & Connectors.
  3. Create a new app.
  4. Enter https://mcp.ai.teamwork.com as the MCP server URL.
  5. Authenticate with Teamwork.com and approve access.

Available actions depend on the Teamwork.com account used to connect the MCP server. Your AI assistant can only work with information and actions available to that account.

Learn more about using Claude and ChatGPT with Teamwork.com

Explore platform-specific workflow examples, setup guidance, and practical ways teams are using Claude and ChatGPT with Teamwork.com.

How Claude works with Teamwork.com
Learn how Claude works with Teamwork.com and why it matters for your team.
How ChatGPT works with Teamwork.com via the MCP connector
Learn how ChatGPT connects to Teamwork.com through the MCP connector.

Example AI prompts

Once connected, you can ask Claude or ChatGPT to help with Teamwork.com workflows using prompts like these. Adapt the examples to the projects, clients, teams, and date ranges you want to review.

Example investigative workflow
Identify delays
“Which active projects are behind on milestones this week?”
→
Find blockers
“What tasks are blocking progress on those projects?”
→
Review workload
“Are any blockers assigned to someone over capacity?”

Operational prompts

  • Identify active Teamwork.com projects with overdue tasks, missed milestones, or stalled activity.
  • Find active projects with no recent logged time, completed tasks, or comments.
  • Look across the next four weeks and tell me who is over capacity and under capacity.

Client and project prompts

  • Create a project from these client meeting notes and add the key milestones.
  • Summarize project activity for this client so I can prepare a status update.
  • Create tasks from this implementation plan and assign owners based on the notes.

Time, budget, and tracking prompts

  • Show billable hours by client over the last 90 days.
  • Calculate billable utilization for last month and flag anyone below target.
  • Compare project budget consumed against work completed and flag projects where logged work appears ahead of progress.

Support prompts

  • Show all high-priority tickets waiting for a response.
  • Draft a reply for this customer support issue.
  • Find recent tickets from this customer and summarize the main themes.

Documentation prompts

  • Create a troubleshooting guide in Teamwork Spaces from these notes.
  • Update the onboarding documentation with the latest process changes.
  • Summarize this Spaces page and suggest updates for clarity.

Use AI output as a draft or starting point. Review results before sending client updates, making resourcing decisions, or acting on project, budget, or time data.

For additional ideas, see our guide to AI prompts for project management teams.

Supported Teamwork.com areas

The Teamwork.com MCP server supports more than 80 tools across Teamwork.com, Teamwork Desk, and Teamwork Spaces. These tools allow connected AI assistants to read, create, update, and manage supported work in Teamwork.com.

Teamwork.com

  • Projects, project members, categories, and templates.
  • Tasks, tasklists, milestones, workflows, activity feeds, and tags.
  • Timelogs, timers, workload, teams, users, companies, skills, and job roles.
  • Project and tasklist budgets where configured.

Teamwork Desk

  • Tickets, replies, internal notes, and file attachments.
  • Customers, companies, inboxes, priorities, statuses, ticket types, and tags.

Teamwork Spaces

  • Spaces, pages, homepages, and page hierarchy.
  • Search, comments, tags, and categories.

Permissions and control

The Teamwork.com MCP server uses the Teamwork.com account connected to the AI assistant. Available information and actions depend on the permissions associated with that account.

Your AI assistant does not get separate access to Teamwork.com. It works through the connected account and follows the permissions available to that account.

Review access carefully before connecting an AI assistant. Any supported action the assistant takes is based on the permissions available to the connected Teamwork.com account.

What is MCP?

MCP stands for Model Context Protocol. It is a standard that allows AI assistants, such as Claude and ChatGPT, to connect to external tools and services, including Teamwork.com.

The Teamwork.com MCP server acts as the connection between your AI assistant and Teamwork.com. When you ask your AI assistant to complete a supported action, the MCP server uses the relevant Teamwork.com tools to read, create, update, or manage work in your workspace.

Frequently asked questions

What is the Teamwork.com MCP server?

The Teamwork.com MCP server connects AI assistants, such as Claude and ChatGPT, to Teamwork.com using the Model Context Protocol (MCP).

Once connected, your AI assistant can help search, summarize, create, and update supported work in Teamwork.com using natural language.

This allows you to manage everyday project management, support, documentation, and operational workflows without manually moving between tools.

Can I use ChatGPT with Teamwork.com?

Yes. ChatGPT is supported through the Teamwork.com MCP server.

Can I use Claude with Teamwork.com?

Yes. Claude is supported through the Teamwork.com MCP server.

Which Teamwork.com products does the MCP server support?

The MCP server supports workflows across Teamwork.com, Teamwork Desk, and Teamwork Spaces.

Can AI assistants create projects and update work in Teamwork.com?

Yes. Supported actions include creating and updating projects, tasks, tickets, Spaces pages, workflows, timelogs, timers, and other Teamwork.com content.

Does the MCP server use my Teamwork.com permissions?

Yes. Available information and actions depend on the Teamwork.com account used to connect the MCP server.

Do I need technical skills to use the Teamwork.com MCP server?

Daily usage is through natural language in your AI assistant. Initial setup may require admin access or help from the person who manages your Teamwork.com settings.

What should I do if a prompt returns an empty result?

An empty result may mean there is no matching data, or that the relevant data is not yet being tracked in Teamwork.com. For example, workload, time, budget, or estimate-based prompts depend on those areas being kept up to date.

Will more AI platforms be supported?

Support for additional AI platforms may be added over time as MCP support expands.

What does MCP stand for?

MCP stands for Model Context Protocol.