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Zendesk Support

Zendesk Support Connector for AI Agents

Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

About this Connector

Zendesk Support is a customer service platform that helps businesses manage support tickets, customer interactions, and help center content. This connector provides access to tickets, users, organizations, groups, comments, attachments, automations, triggers, macros, views, satisfaction ratings, SLA policies, and help center articles.

CRM

Sales Analytics

Customer Data

customer support, help desk, ticket management

Version Information

Package version

0.18.109

Connector version

0.1.15

SDK commit

cb4380e76ac5cbc67b9089f94522be1bbe9f8d73

Support Open Source

Check us out on Github and join the Airbyte community

Github

Installation & Usage

Get started with the Zendesk Support connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-zendesk-support

2

Import

Initialize and use

python

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from airbyte_agent_zendesk_support import ZendeskSupportConnector
from airbyte_agent_zendesk_support.models import ZendeskSupportApiTokenAuthConfig

connector = ZendeskSupportConnector(
    auth_config=ZendeskSupportApiTokenAuthConfig(
        email="<Your Zendesk account email address>",
        api_token="<Your Zendesk API token from Admin Center>"
    )
)

3

Tool

Add tools to your agent

python

Copy
@agent.tool_plain # assumes you're using Pydantic AI
@ZendeskSupportConnector.tool_utils
async def zendesk_support_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Supported Entities & Actions

Access all your Zendesk Support data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Tickets | [List](./REFERENCE.md#tickets-list), [Get](./REFERENCE.md#tickets-get), [Search](./REFERENCE.md#tickets-search) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Search](./REFERENCE.md#users-search) |\n| Organizations | [List](./REFERENCE.md#organizations-list), [Get](./REFERENCE.md#organizations-get), [Search](./REFERENCE.md#organizations-search) |\n| Groups | [List](./REFERENCE.md#groups-list), [Get](./REFERENCE.md#groups-get), [Search](./REFERENCE.md#groups-search) |\n| Ticket Comments | [List](./REFERENCE.md#ticket-comments-list), [Search](./REFERENCE.md#ticket-comments-search) |\n| Attachments | [Get](./REFERENCE.md#attachments-get), [Download](./REFERENCE.md#attachments-download) |\n| Ticket Audits | [List](./REFERENCE.md#ticket-audits-list), [List](./REFERENCE.md#ticket-audits-list), [Search](./REFERENCE.md#ticket-audits-search) |\n| Ticket Metrics | [List](./REFERENCE.md#ticket-metrics-list), [Search](./REFERENCE.md#ticket-metrics-search) |\n| Ticket Fields | [List](./REFERENCE.md#ticket-fields-list), [Get](./REFERENCE.md#ticket-fields-get), [Search](./REFERENCE.md#ticket-fields-search) |\n| Brands | [List](./REFERENCE.md#brands-list), [Get](./REFERENCE.md#brands-get), [Search](./REFERENCE.md#brands-search) |\n| Views | [List](./REFERENCE.md#views-list), [Get](./REFERENCE.md#views-get) |\n| Macros | [List](./REFERENCE.md#macros-list), [Get](./REFERENCE.md#macros-get) |\n| Triggers | [List](./REFERENCE.md#triggers-list), [Get](./REFERENCE.md#triggers-get) |\n| Automations | [List](./REFERENCE.md#automations-list), [Get](./REFERENCE.md#automations-get) |\n| Tags | [List](./REFERENCE.md#tags-list), [Search](./REFERENCE.md#tags-search) |\n| Satisfaction Ratings | [List](./REFERENCE.md#satisfaction-ratings-list), [Get](./REFERENCE.md#satisfaction-ratings-get), [Search](./REFERENCE.md#satisfaction-ratings-search) |\n| Group Memberships | [List](./REFERENCE.md#group-memberships-list) |\n| Organization Memberships | [List](./REFERENCE.md#organization-memberships-list) |\n| Sla Policies | [List](./REFERENCE.md#sla-policies-list), [Get](./REFERENCE.md#sla-policies-get) |\n| Ticket Forms | [List](./REFERENCE.md#ticket-forms-list), [Get](./REFERENCE.md#ticket-forms-get), [Search](./REFERENCE.md#ticket-forms-search) |\n| Articles | [List](./REFERENCE.md#articles-list), [Get](./REFERENCE.md#articles-get) |\n| Article Attachments | [List](./REFERENCE.md#article-attachments-list), [Get](./REFERENCE.md#article-attachments-get), [Download](./REFERENCE.md#article-attachments-download) |

Example Prompts

The Zendesk Support connector is optimized to handle prompts like these

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Show me the tickets assigned to me last week - List all unresolved tickets - Show me the details of recent tickets - What are the top 5 support issues our organization has faced this month? - Analyze the satisfaction ratings for our support team in the last 30 days - Compare ticket resolution times across different support groups - Identify the most common ticket fields used in our support workflow - Summarize the performance of our SLA policies this quarter

Why Airbyte for AI Agents?

Built for production AI workloads with enterprise-grade reliability

Agent-Native Design

Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.

Secure Authentication

Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.

Production Ready

Battle-tested connectors with comprehensive error handling, logging, and retry logic.

Open Source

Fully open source under the MIT license. Contribute, customize, and extend freely.

Works with your favorite frameworks

Use the Zendesk Support connector with any AI agent framework

🦜

LangChain

🦙

LlamaIndex

🤖

CrewAI

AutoGen

🧠

OpenAI Agents SDK

🔮

Claude Agents SDK

Frequently Asked Questions

Didn't find your answer? Please don't hesitate to reach out.

How do I authenticate with Zendesk Support?

The zendesk-support connector supports API Token authentication. You provide your Zendesk account email address and an API token generated from the Zendesk Admin Center. In hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate via Airbyte client credentials instead.

Can I use this connector with any AI agent framework?

The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.

Does this connector support write operations?

Currently, the zendesk-support connector focuses on read operations only (List, Get, Search, Download). Write operations such as creating tickets, updating ticket priority, assigning tickets, deleting tickets, or sending automatic responses are not supported at this time.

How is this different from the Airbyte data connector?

Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.

Will there be a platform for agent connectors?

The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors