What
Connect AI assistants, such as Claude or ChatGPT, to Teamwork Desk through MCP so support teams can manage support work using natural language.
Why
  • Identify tickets at risk of breaching SLAs or waiting too long for a response.
  • Draft contextual replies using ticket details and help documentation.
  • Surface support trends, documentation gaps, and operational issues faster.
Who
Support teams using Teamwork Desk with AI assistants such as Claude or ChatGPT.
When
Use the Teamwork.com MCP server when you want AI assistants to help review tickets, draft replies, monitor SLAs, identify support trends, or manage supported Desk workflows.

Use AI assistants with Teamwork Desk

The Teamwork.com MCP server powers the connection between AI assistants and Teamwork Desk. It helps support teams query Desk data, manage supported workflows, and act on ticket, customer, SLA, and help doc information using natural language.

AI assistants can help teams work with support tickets, customer conversations, help docs, SLAs, and operational support workflows using natural language.

By connecting your AI assistant to Teamwork Desk, teams can spend less time manually filtering queues, exporting reports, and chasing updates, and more time responding to customers and resolving high-priority work.

Best for support teams managing high ticket volume, SLA-sensitive workflows, recurring customer issues, or large help doc libraries.

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 Desk.

The Teamwork.com MCP server connects your AI assistant to Teamwork Desk so it can read, create, update, and manage supported Desk workflows using natural language.


Get help with everyday Teamwork Desk workflows

The Teamwork.com MCP server helps your AI assistant work with Teamwork Desk tickets, customers, SLAs, help documentation, and support operations workflows using natural language.

Common support workflows

  • Identify tickets at risk of SLA breach or waiting too long for a response.
  • Triage unassigned or high-priority support queues.
  • Draft contextual replies using ticket details and help documentation.
  • Surface recurring customer issues and help documentation gaps.
  • Review agent activity, first-contact resolution signals, and operational trends.
  • Create Teamwork.com follow-up work from support conversations where needed.

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

Connect AI assistants to Teamwork Desk

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.

  1. Enable MCP server access:
    1. Click your profile icon in your Teamwork Desk account, then select MCP server.
      Image Placeholder
    2. Toggle on Teamwork Desk MCP Server.Image Placeholder
  2. Add the Teamwork.com MCP server: 
    1. Open your chosen AI assistant.
    2. Navigate to the connectors setup area. Depending on the platform, it might be under Apps, Integrations, MCP, or Connectors.
    3. Create a new app. You might need to request developer mode access from your AI platform admin.
    4. Enter the Teamwork.com MCP server URL: https://mcp.ai.teamwork.com.
    5. Sign in using the Teamwork.com account you want the AI assistant to use.
    6. Review and approve the requested permissions.

Platform-specific setup guides

Claude and ChatGPT both use the same Teamwork.com MCP server URL, though the setup flow differs by platform. Use the guides below for platform-specific setup steps. Additional MCP-compatible AI assistant setup guides may be added over time as platform support expands.


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.

Example prompts

Once connected, you can ask Claude or ChatGPT to help with Teamwork Desk workflows using prompts like these. Adapt them to the inboxes, agents, customers, SLAs, and date ranges you want to review.

Example support workflow
Find urgent tickets
“Which tickets are due to breach SLA in the next two hours and are unassigned?”

Prioritize customers
“Which of those tickets are from high-priority customers?”

Take action
“Draft a response acknowledging the delay and assign the tickets to available agents.”

More prompts to try

  • Show tickets due to breach SLA in the next two hours that are currently unassigned.
  • Which tickets in waiting on customer status have not received a reply in the last 10 days?
  • Which high-priority tickets arrived outside business hours and waited more than eight hours for a response?
  • Draft replies for new password reset tickets using our help docs.
  • Suggest help doc article topics based on repeated tickets from the last 30 days.
  • Rank agents by ticket replies in the last 30 days and present the results in a table.
  • Find tickets where customers or agents asked for clarification multiple times in the last 21 days.
  • Find tickets where a task should have been created but no linked task exists.

Use AI output as a draft or starting point. Review results before sending customer replies, assigning tickets, making staffing decisions, or acting on SLA, ticket, or customer data.

Supported Teamwork Desk workflows and data

The Teamwork.com MCP server supports workflows across Desk data that can be read, created, updated, or managed through supported MCP tools and account permissions.

  • Business hours
  • Companies and customers
  • Help doc articles and help doc sites
  • SLAs
  • Tags, ticket priorities, ticket statuses, and ticket types
  • Tickets and ticket conversations
  • User accounts

Available results depend on the information tracked in Teamwork Desk and the permissions available to the connected account.

Permissions and access

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 Desk. 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.

Frequently asked questions

What is the Teamwork.com MCP server for Teamwork Desk?

The Teamwork.com MCP server connects AI assistants, such as Claude and ChatGPT, to Teamwork Desk using the Model Context Protocol (MCP). Once connected, AI assistants can help search, summarize, create, and update supported Desk work using natural language.

Can I use Claude or ChatGPT with Teamwork Desk?

Yes. Claude and ChatGPT are supported through the Teamwork.com MCP server. Use the setup guides linked above for platform-specific setup steps.

What can AI assistants access in Teamwork Desk?

Supported workflows include tickets, customers, companies, help docs, SLAs, ticket statuses, priorities, tags, business hours, users, and other supported Teamwork Desk data.

Can AI assistants create and update tickets?

Yes. Supported actions include creating and updating tickets and other supported Teamwork Desk data, based on account permissions.

Can AI assistants draft ticket replies?

Yes. AI assistants can help draft contextual replies using ticket information and help docs. AI-generated responses should always be reviewed before sending.

Does the MCP server use my Teamwork Desk permissions?

Yes. AI assistants only have access to the information and actions available to the connected Teamwork.com account.