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Zendesk Talk

Zendesk Talk 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

Connector for the Zendesk Talk (Voice) API. Provides access to phone numbers, addresses, greetings, IVR configurations, call data, and agent/account statistics for Zendesk Talk voice support channels.

CRM

Sales Analytics

Customer Data

customer support, voice & telephony, call center analytics

Version Information

Package version

0.1.1

Connector version

1.0.0

SDK commit

44677ecbb4b815bb4fb2a54c6e5339681bcf36a8

Support Open Source

Check us out on Github and join the Airbyte community

Github

Installation & Usage

Get started with the Zendesk Talk connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-zendesk-talk

2

Import

Initialize and use

python

Copy
from airbyte_agent_zendesk_talk import ZendeskTalkConnector
from airbyte_agent_zendesk_talk.models import ZendeskTalkApiTokenAuthConfig

connector = ZendeskTalkConnector(
    auth_config=ZendeskTalkApiTokenAuthConfig(
        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
@ZendeskTalkConnector.tool_utils
async def zendesk_talk_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Supported Entities & Actions

Access all your Zendesk Talk data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Phone Numbers | [List](./REFERENCE.md#phone-numbers-list), [Get](./REFERENCE.md#phone-numbers-get), [Search](./REFERENCE.md#phone-numbers-search) |\n| Addresses | [List](./REFERENCE.md#addresses-list), [Get](./REFERENCE.md#addresses-get), [Search](./REFERENCE.md#addresses-search) |\n| Greetings | [List](./REFERENCE.md#greetings-list), [Get](./REFERENCE.md#greetings-get), [Search](./REFERENCE.md#greetings-search) |\n| Greeting Categories | [List](./REFERENCE.md#greeting-categories-list), [Get](./REFERENCE.md#greeting-categories-get), [Search](./REFERENCE.md#greeting-categories-search) |\n| Ivrs | [List](./REFERENCE.md#ivrs-list), [Get](./REFERENCE.md#ivrs-get), [Search](./REFERENCE.md#ivrs-search) |\n| Agents Activity | [List](./REFERENCE.md#agents-activity-list), [Search](./REFERENCE.md#agents-activity-search) |\n| Agents Overview | [List](./REFERENCE.md#agents-overview-list), [Search](./REFERENCE.md#agents-overview-search) |\n| Account Overview | [List](./REFERENCE.md#account-overview-list), [Search](./REFERENCE.md#account-overview-search) |\n| Current Queue Activity | [List](./REFERENCE.md#current-queue-activity-list), [Search](./REFERENCE.md#current-queue-activity-search) |\n| Calls | [List](./REFERENCE.md#calls-list), [Search](./REFERENCE.md#calls-search) |\n| Call Legs | [List](./REFERENCE.md#call-legs-list), [Search](./REFERENCE.md#call-legs-search) |

Example Prompts

The Zendesk Talk connector is optimized to handle prompts like these

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List all phone numbers in our Zendesk Talk account - Show all addresses on file - List all IVR configurations - Show all greetings - List greeting categories - Show agent activity statistics - Show the account overview stats - Show current queue activity - Which phone numbers have SMS enabled? - Find agents who have missed the most calls today - What is the average call duration across all calls? - Which phone numbers are toll-free?

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 Talk 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 Talk?

The zendesk-talk connector supports API Token authentication. You provide your Zendesk account email address and an API token generated from the Zendesk Admin Center via the ZendeskTalkApiTokenAuthConfig. Alternatively, in hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate using your 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-talk connector focuses on read operations only. Write operations such as creating phone numbers, deleting IVR configurations, updating greetings, or making outbound calls are not supported. Write support may be added in future versions.

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