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.
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 for customer support analytics and service performance insights.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.18.74
Connector version
0.1.9
SDK commit
5b20f488dec0e8f29410823753106603c23a4b65
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Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-zendesk-support
2
Import
Initialize and use
python
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
@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
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| Entity | Actions |\n|--------|---------|\n| Tickets | [List](./REFERENCE.md#tickets-list), [Get](./REFERENCE.md#tickets-get) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get) |\n| Organizations | [List](./REFERENCE.md#organizations-list), [Get](./REFERENCE.md#organizations-get) |\n| Groups | [List](./REFERENCE.md#groups-list), [Get](./REFERENCE.md#groups-get) |\n| Ticket Comments | [List](./REFERENCE.md#ticket-comments-list) |\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) |\n| Ticket Metrics | [List](./REFERENCE.md#ticket-metrics-list) |\n| Ticket Fields | [List](./REFERENCE.md#ticket-fields-list), [Get](./REFERENCE.md#ticket-fields-get) |\n| Brands | [List](./REFERENCE.md#brands-list), [Get](./REFERENCE.md#brands-get) |\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) |\n| Satisfaction Ratings | [List](./REFERENCE.md#satisfaction-ratings-list), [Get](./REFERENCE.md#satisfaction-ratings-get) |\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) |\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
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Show me the tickets assigned to me last week - What are the top 5 support issues our organization has faced this month? - List all unresolved tickets for \{customer\} - Analyze the satisfaction ratings for our support team in the last 30 days - Compare ticket resolution times across different support groups - Show me the details of recent tickets tagged with \{tag\} - 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
🦜
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.
The zendesk-support connector supports API token authentication. You need to provide your Zendesk account email address and an API token generated from the Zendesk Admin Center.
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?
No, the zendesk-support connector does not currently support write operations. As shown in the Unsupported questions section, operations like creating tickets, updating priorities, assigning tickets, deleting tickets, and sending automatic responses are not available. The connector focuses on read operations for analytics and insights.
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.
