Airtable

The Airtable agent connector is a Python package that equips AI agents to interact with Airtable through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

Airtable is a cloud-based platform that combines the simplicity of a spreadsheet with the power of a database. This connector provides access to bases, tables, and records for data analysis and workflow automation.

Example questions

The Airtable connector is optimized to handle prompts like these.

List all my Airtable bases
What tables are in my first base?
Show me the schema for tables in a base
List records from a table in my base
Show me recent records from a table
What fields are in a table?
List records where Status is 'Done' in table tblXXX
Find records created last week in table tblXXX
Show me records updated in the last 30 days in base appXXX

Unsupported questions

The Airtable connector isn't currently able to handle prompts like these.

Create a new record in Airtable
Update a record in Airtable
Delete a record from Airtable
Create a new table
Modify table schema

Installation

uv pip install airbyte-agent-airtable

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_airtable import AirtableConnector
from airbyte_agent_airtable.models import AirtableAuthConfig

connector = AirtableConnector(
    auth_config=AirtableAuthConfig(
        personal_access_token="<Airtable Personal Access Token. See https://airtable.com/developers/web/guides/personal-access-tokens>"
    )
)

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

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_airtable import AirtableConnector, AirbyteAuthConfig

connector = AirtableConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

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

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity	Actions
Bases	List, Context Store Search
Tables	List, Context Store Search
Records	List, Get

Authentication

For all authentication options, see the connector's authentication documentation.

Airtable API docs

See the official Airtable API reference.

Version information

Package version: 0.1.60
Connector version: 1.0.8
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Release files for airbyte-agent-airtable 0.1.60

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for airbyte-agent-airtable 0.1.60
File	Size	Uploaded
airbyte_agent_airtable-0.1.60.tar.gz	151.2 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-airtable 0.1.60
File	Interpreter	ABI	Platform	Reset
airbyte_agent_airtable-0.1.60-py3-none-any.whl 179.6 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 330.8 kB

Release files / airbyte_agent_airtable-0.1.60.tar.gz

Download URL	airbyte_agent_airtable-0.1.60.tar.gz
Size	151.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`b7d31a5af7bfaacd8a4e7b2fe98c3d8ff66f5aac17af33f743907b8aaea3910f`
BLAKE2b-256 checksum How to use checksums	`d2108e7531e52dc390961eec13cf1ecbe16698b54ea26e1b0213bf9cba4025c4`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / airbyte_agent_airtable-0.1.60-py3-none-any.whl

Download URL	airbyte_agent_airtable-0.1.60-py3-none-any.whl
Size	179.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`62d8df72234545f13ac59fa36f9287ee61a0f93d00b47727a6f3ec058df533a8`
BLAKE2b-256 checksum How to use checksums	`77b7d0c8d1bc4787cd64acd6354af8d440770ed52eb6f1eff0cbf222e4d59f6f`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`