How to Install Zendesk MCP in OpenAI Agents SDK

Official Zendesk integration — manage tickets, customers, and support workflows through AI

What Zendesk MCP does

The official Zendesk MCP server gives AI agents full access to Zendesk support workflows. It can create tickets, search customer history, update SLAs, and help automate support responses. Features: - Create, search, and update support tickets - Access user and organization profiles - Manage ticket tags, priorities, and groups - Query SLA status and response metrics - Add internal notes and public replies - Inspect macros, triggers, and automations - Generate summaries of support conversations Zendesk MCP is built for customer support teams that want AI to handle ticket tasks and surface customer context instantly.

zendesk

support

tickets

customers

helpdesk

Installation steps

1Install: pip install openai-agents
2Copy the snippet below into your agent code
3Replace placeholder env values with your real keys
4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython

from agents import Agent
from agents.mcp import MCPServerStdio

mcp_server = MCPServerStdio(
    command="npx",
    args=["-y", "@zendesk/mcp"],
    env={
        "ZENDESK_SUBDOMAIN": "yourcompany",
        "ZENDESK_API_TOKEN": "...",
        "ZENDESK_EMAIL": "you@company.com",
    },
)

agent = Agent(
    name="My Agent",
    model="gpt-4o",
    mcp_servers=[mcp_server],
)

Full server details Open Config Editor

Install in other clients

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For maintainers

If you maintain Zendesk MCP, add this badge to your README to show it's verified on CuratedMCP:

[![CuratedMCP Verified](https://curatedmcp.com/api/badge/zendesk-mcp)](https://curatedmcp.com/marketplace/zendesk-mcp)