Zendesk MCP Server for Heroku
Enables interaction with Zendesk Support for managing tickets, comments, and filtering via the Model Context Protocol. It allows LLMs to perform actions like creating, updating, and listing support tickets through natural language in a Heroku-native environment.
README
Zendesk MCP Server for Heroku
A Model Context Protocol (MCP) server for Zendesk Support integration.
Features
- Ticket Management - Get, create, update tickets
- Comments - Add public replies and internal notes
- Filtering - Filter by status, priority, and more
- Heroku Native - Designed for Heroku deployment with MCP process support
Available Tools
| Tool | Description |
|---|---|
get_tickets |
List tickets with filtering and pagination |
get_ticket |
Get ticket details by ID |
get_ticket_comments |
Get all comments on a ticket |
create_ticket |
Create a new support ticket |
create_ticket_comment |
Add a comment to a ticket |
update_ticket |
Update ticket status, priority, etc. |
Deployment
One-Click Deploy
Click the "Deploy to Heroku" button above.
Configure Credentials
heroku config:set ZENDESK_SUBDOMAIN=mycompany
heroku config:set ZENDESK_EMAIL=agent@mycompany.com
heroku config:set ZENDESK_API_TOKEN=your-api-token
Get your API token from Zendesk Admin > Apps and integrations > APIs > Zendesk API.
Register with Heroku AI
heroku addons:attach your-main-app::INFERENCE -a my-zendesk-mcp
Usage
response = client.chat.completions.create(
model=os.getenv("INFERENCE_MODEL_ID"),
messages=[
{"role": "user", "content": "Find all urgent tickets opened today"}
],
extra_body={
"heroku": {
"mcp_servers": ["mcp-zendesk"]
}
}
)
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.