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MCP server

Zendesk MCP server

A community MCP server that lets AI read Zendesk tickets, comments and attachments, create tickets and add comments.

At a glance

Maintained by
reminia (community)
Tools exposed
7 listed below
Reviewed
September 24, 2026

Why it matters

What it does and why it matters

Zendesk runs customer support for many companies. This community MCP server lets an assistant list and read tickets, read comments and attachments, create tickets, update them and add comments. That is enough to summarize tickets, draft replies and route work.

Zendesk has announced its own MCP server, but at review time we found no official developer documentation for it, so we list the most active community option and will update this page when the official one is documented.

The server uses a Zendesk API token, which carries the permissions of its user. Use an agent account limited to the needed groups. Adding public comments sends messages to customers, so we draft internal notes first and let agents send the final reply.

Use cases

Best business use cases

Ticket summaries

Summarize long tickets for the next agent.

Draft replies

Draft answers from your help content. See AI customer support.

Routing

Suggest the right group and priority.

Trends

Group tickets by topic to find common issues.

Ticket creation

Create tickets from emails or chats.

Tools

Available tools

Tool names as published by the maintainer at review time. Versions change, so check the repository for the current list.

Read and write: Read and write on tickets and comments; Help Center articles exposed read-only as a resource.

  • get_tickets

    Fetch the latest tickets with paging and sorting.

  • get_ticket

    Get a ticket by ID.

  • get_ticket_comments

    Get all comments on a ticket.

  • get_ticket_attachment

    Get a ticket attachment.

  • create_ticket

    Create a new ticket.

  • update_ticket

    Update ticket status, priority, assignee, tags and fields.

  • create_ticket_comment

    Add a public or private comment to a ticket.

Workflows

Example workflows

Draft a reply

  1. 1

    An agent opens a ticket.

  2. 2

    The assistant reads the ticket and history.

  3. 3

    It drafts a reply from help content.

  4. 4

    It adds the draft as an internal note.

  5. 5

    The agent edits and sends it.

Weekly issue themes

  1. 1

    Ask for last week's tickets.

  2. 2

    The assistant reads them.

  3. 3

    It groups them by theme.

  4. 4

    It highlights rising issues.

  5. 5

    The support lead shares findings.

Prompts

Example prompts

  • “Summarize ticket 48213 and its history for me.”

  • “Draft a reply to this ticket as an internal note.”

  • “Group last week's tickets by topic and show the top five.”

Setup

Installation and configuration

Examples for Claude Desktop and Claude Code. Replace the placeholder values with your own keys, and store secrets outside version control.

Claude Desktop: claude_desktop_config.json

{
    "mcpServers": {
        "zendesk": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/zendesk-mcp-server",
                "run",
                "zendesk"
            ]
        }
    }
}

Claude Code: terminal

claude mcp add zendesk -- uv --directory /path/to/zendesk-mcp-server run zendesk
  • Local server: Python via uv from a cloned repo (uv run zendesk); Docker build also supported.
  • Needs: OAuth with a public Zendesk OAuth client (PKCE). Set ZENDESK_SUBDOMAIN and ZENDESK_CLIENT_ID, then run uv run zendesk-auth once. API token auth still works but is deprecated..

Security

Security considerations

  • Right user, right access

    Connect with a user whose CRM role fits the task, not an admin.

  • Start read-only

    Begin with lookups. Add create and update actions one at a time.

  • Customer data

    Tickets hold personal data. Limit groups and avoid copying data into other tools.

  • Audit changes

    Review records changed through the assistant, especially in the first weeks.

Related servers

Servers that pair well with it

Intercom

Intercom's official hosted MCP server lets AI search conversations, contacts, companies and help articles, create articles and add notes.

Salesforce

Salesforce's official DX MCP server lets AI query data with SOQL, manage orgs and metadata, run tests and assign permission sets.

Slack

Slack's own hosted MCP server lets AI search messages, read channels and threads, look up people, draft or send messages and create canvases.

Keep exploring

FAQ

Questions people ask us

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