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
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.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.1.2
Connector version
1.0.1
SDK commit
5b20f488dec0e8f29410823753106603c23a4b65
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Star us on GitHub to help grow the Airbyte community
Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-airtable
2
Import
Initialize and use
python
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>"
)
)3
Tool
Add tools to your agent
python
@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 {})Supported Entities & Actions
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| Entity | Actions |\n|--------|---------|\n| Bases | [List](./REFERENCE.md#bases-list) |\n| Tables | [List](./REFERENCE.md#tables-list) |\n| Records | [List](./REFERENCE.md#records-list), [Get](./REFERENCE.md#records-get) |
Example Prompts
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List all my Airtable bases - What tables are in base appXXX? - Show me the schema for tables in base appXXX - List records from table tblXXX in base appXXX - Get record recXXX from table tblXXX in base appXXX - What fields are in table tblXXX? - List records where Status is 'Done' in table tblXXX
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 Airtable connector supports authentication via Personal Access Token. You can generate a Personal Access Token from your Airtable account settings at https://airtable.com/developers/web/guides/personal-access-tokens
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 Airtable connector focuses on read operations (listing and retrieving bases, tables, and records). Write operations such as creating, updating, or deleting records and modifying table schemas are not supported at this time but 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.
