Typeform 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.

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community members
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daily active companies
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About this Connector

Connector for the Typeform API. Provides access to forms, form responses, webhooks, workspaces, images, and themes. Supports listing and retrieving typeform resources for survey and form management workflows.

CRM

Sales Analytics

Customer Data

survey tools, form management, data collection

Version Information

Package version

0.1.1

Connector version

1.0.1

SDK commit

44677ecbb4b815bb4fb2a54c6e5339681bcf36a8

Support Open Source

Check us out on Github and join the Airbyte community

Github

Installation & Usage

Get started with the Typeform connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-typeform

2

Import

Initialize and use

python

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from airbyte_agent_typeform import TypeformConnector
from airbyte_agent_typeform.models import TypeformAuthConfig

connector = TypeformConnector(
    auth_config=TypeformAuthConfig(
        access_token="<Personal access token from your Typeform account settings>"
    )
)

3

Tool

Add tools to your agent

python

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

Supported Entities & Actions

Access all your Typeform data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Forms | [List](./REFERENCE.md#forms-list), [Get](./REFERENCE.md#forms-get), [Search](./REFERENCE.md#forms-search) |\n| Responses | [List](./REFERENCE.md#responses-list), [Search](./REFERENCE.md#responses-search) |\n| Webhooks | [List](./REFERENCE.md#webhooks-list), [Search](./REFERENCE.md#webhooks-search) |\n| Workspaces | [List](./REFERENCE.md#workspaces-list), [Search](./REFERENCE.md#workspaces-search) |\n| Images | [List](./REFERENCE.md#images-list), [Search](./REFERENCE.md#images-search) |\n| Themes | [List](./REFERENCE.md#themes-list), [Search](./REFERENCE.md#themes-search) |

Example Prompts

The Typeform connector is optimized to handle prompts like these

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List all my typeforms - Show me the responses for my latest form - What workspaces do I have? - List all themes in my account - Get the details of a specific form - Which forms received the most responses last month? - Find responses submitted in the last week - What forms were created this year? - Show me all forms in a specific workspace

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 Typeform 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 Typeform?

The Typeform connector supports Personal Access Token authentication. You provide your token (obtained from your Typeform account settings) directly via the access_token field in TypeformAuthConfig. Alternatively, in hosted mode, credentials are stored securely in Airbyte Cloud using AirbyteAuthConfig.

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 Typeform connector focuses on read operations only. Write operations such as creating new typeforms, deleting form responses, updating form settings, or sending webhook notifications 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