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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Highlight AIRetrieve a ticket by ID. Example Usage: 'Get ticket #12345'
Get detailed ticket with comments. Example Usage: 'Show me full details for ticket #67890'
Search tickets with query syntax. Example Usage: 'Find all urgent tickets from last week'
Create a new ticket. Example Usage: 'Create a high priority ticket for login issues'
Update ticket properties. Example Usage: 'Set ticket #555 to solved status'
Add internal agent notes. Example Usage: 'Add a private note about investigation progress'
Add public customer comments. Example Usage: 'Reply to customer with solution steps'
Get incident tickets linked to problems. Example Usage: 'Show incidents related to this problem ticket'
