Installation & Usage
[01]
Install Package
Using uv or pip
BASH
uv pip install airbyte-agent-notion
[02]
Import
Initialize and use
PYTHON
from airbyte_agent_notion import NotionConnector
from airbyte_agent_notion.models import NotionAccessTokenAuthConfig
connector = NotionConnector(
auth_config=NotionAccessTokenAuthConfig(
token="<Notion internal integration token (starts with ntn_ or secret_)>"
)
)[03]
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@NotionConnector.tool_utils
async def notion_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| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Search](./REFERENCE.md#users-search) |\n| Pages | [List](./REFERENCE.md#pages-list), [Get](./REFERENCE.md#pages-get), [Search](./REFERENCE.md#pages-search) |\n| Data Sources | [List](./REFERENCE.md#data-sources-list), [Get](./REFERENCE.md#data-sources-get), [Search](./REFERENCE.md#data-sources-search) |\n| Blocks | [List](./REFERENCE.md#blocks-list), [Get](./REFERENCE.md#blocks-get), [Search](./REFERENCE.md#blocks-search) |\n| Comments | [List](./REFERENCE.md#comments-list) |
Example Prompts
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List all users in my Notion workspace - Show me all pages in my Notion workspace - What data sources exist in my Notion workspace? - Get the details of a specific page by ID - List child blocks of a specific page - Show me comments on a specific page - What is the schema of a specific data source? - Who are the bot users in my workspace? - Find pages created in the last week - List data sources that have been recently edited - Show me all archived pages
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Agent-Native Design
Heading
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
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
CrewAI
LlamaIndex
AutoGen
OpenAI Agents SDK
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The Notion connector supports Access Token authentication using a Notion internal integration token (starting with ntn_ or secret_). In hosted mode, credentials are stored securely in Airbyte Cloud and accessed via Airbyte client ID and client secret.
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 Notion connector focuses on read operations only. Write operations such as creating pages, updating data source properties, deleting blocks, or adding comments 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.
Get started in minutes with our open-source connector.