Notion

This connector is optimized for AI agents. For the data replication connector, see Notion.

The Notion agent connector is a Python package that equips AI agents to interact with Notion 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.

Notion is an all-in-one workspace for notes, docs, wikis, projects, and collaboration. This connector provides read access to Notion workspaces including users, pages, data sources, blocks, and comments through the Notion REST API (version 2025-09-03). It enables querying workspace structure, page content, data source schemas, and collaboration data for productivity analysis and content management insights.

Example prompts

The Notion connector is optimized to handle prompts like these.

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

Unsupported prompts

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

Create a new page in Notion
Update a data source property
Delete a block
Add a comment to a page

Entities and actions

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

Entity	Actions
Users	List, Get, Context Store Search
Pages	List, Get, Context Store Search
Data Sources	List, Get, Context Store Search
Blocks	List, Get, Context Store Search
Comments	List, Context Store Search

Notion API docs

See the official Notion API reference.

SDK installation

uv pip install airbyte-agent-sdk

SDK usage

Connectors can run in hosted or open source mode.

Hosted

In hosted mode, API credentials are stored securely in Airbyte Agents. 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.

The connect() factory returns a fully typed NotionConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:

Pydantic AI
LangChain
OpenAI Agents
FastMCP

Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.notion import NotionConnector

connector = connect("notion", workspace_name="<your_workspace_name>")

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.notion import NotionConnector

connector = connect("notion", workspace_name="<your_workspace_name>")

@tool
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.notion import NotionConnector

connector = connect("notion", workspace_name="<your_workspace_name>")

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@NotionConnector.tool_utils(framework="openai_agents")
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Notion Assistant", tools=[notion_execute])

FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.notion import NotionConnector

connector = connect("notion", workspace_name="<your_workspace_name>")

mcp = FastMCP("Notion Agent")

@mcp.tool
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Or pass credentials explicitly (equivalent, useful when you're not loading them from the environment):

Pydantic AI
LangChain
OpenAI Agents
FastMCP

Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

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

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

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

@tool
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

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

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@NotionConnector.tool_utils(framework="openai_agents")
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Notion Assistant", tools=[notion_execute])

FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

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

mcp = FastMCP("Notion Agent")

@mcp.tool
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Open source

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

Pydantic AI
LangChain
OpenAI Agents
FastMCP

Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.connectors.notion.models import NotionAccessTokenAuthConfig

connector = NotionConnector(
    auth_config=NotionAccessTokenAuthConfig(
        token="<Notion internal integration token (starts with ntn_ or secret_)>"
    )
)

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.connectors.notion.models import NotionAccessTokenAuthConfig

connector = NotionConnector(
    auth_config=NotionAccessTokenAuthConfig(
        token="<Notion internal integration token (starts with ntn_ or secret_)>"
    )
)

@tool
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.connectors.notion.models import NotionAccessTokenAuthConfig

connector = NotionConnector(
    auth_config=NotionAccessTokenAuthConfig(
        token="<Notion internal integration token (starts with ntn_ or secret_)>"
    )
)

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@NotionConnector.tool_utils(framework="openai_agents")
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Notion Assistant", tools=[notion_execute])

FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.notion import NotionConnector
from airbyte_agent_sdk.connectors.notion.models import NotionAccessTokenAuthConfig

connector = NotionConnector(
    auth_config=NotionAccessTokenAuthConfig(
        token="<Notion internal integration token (starts with ntn_ or secret_)>"
    )
)

mcp = FastMCP("Notion Agent")

@mcp.tool
@NotionConnector.tool_utils
async def notion_execute(entity: str, action: str, params: dict | None = None):
    """Execute Notion connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Authentication

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

Version information

Connector version: 0.1.12

Example prompts​

Unsupported prompts​

Entities and actions​

Notion API docs​

SDK installation​

SDK usage​

Hosted​

Open source​

Authentication​

Version information​