Zendesk MCP Server provides a bridge between AI assistants and the Zendesk customer support platform through the Model Context Protocol. This TypeScript implementation enables agents to perform essential Zendesk operations including retrieving, creating, and updating tickets, adding public and private comments, and searching across the ticket database. The server authenticates with Zendesk using API tokens configured through environment variables and exposes seven specialized tools that handle different aspects of ticket management. It's particularly valuable for customer support teams who want to leverage AI assistants for ticket triage, response drafting, and support workflow automation without leaving their conversation interface.
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Retrieves a ticket by ID.
Gets ticket details including comments.
Searches tickets with Zendesk query syntax.
Creates a new ticket.
Updates ticket properties.
Adds an internal note to a ticket.
Adds a public comment to a ticket.
Retrieves all incident tickets linked to a particular ticket.
