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Prerequisites Before you begin, create an account and get your API Key.

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Getting started

Connect to Zendesk to manage customer support tickets, handle inquiries, and streamline support workflows through AI agents.
  • API
  • UI
  • Open Source
1

Install the SDKs (optional)

pip install klavis
2

Create a Strata MCP Server with Zendesk

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.ZENDESK],
    user_id="user123"
)

API Reference

Full Strata API endpoints
3

Authenticate

import webbrowser

# Open OAuth authorization page
webbrowser.open(response.oauth_urls[McpServerName.ZENDESK])
🎉 Your Zendesk MCP Server is ready! Once authentication is complete, you can use your MCP server URL with any MCP-compatible client.

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Available Tools

Coming Soon: Zendesk integration is currently in development. Tool functionality will be available soon with features including:
  • Ticket management and tracking
  • Customer interaction history
  • Support workflow automation
  • Analytics and reporting
Tool Name (Coming Soon)Description
zendesk_list_ticketsList support tickets with filtering options
zendesk_create_ticketCreate new support tickets
zendesk_get_ticketGet detailed information about a specific ticket
zendesk_update_ticketUpdate ticket status, priority, or details
zendesk_add_commentAdd comments to existing tickets
zendesk_list_usersList users and customer information
zendesk_searchSearch across tickets, users, and organizations
For more details about tool input schema, use the get_tools API.

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Next Steps

White-label Authentication

Customize OAuth flows with your own branding

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas
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