Confluence

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

Connector for the Confluence Cloud REST API. Provides read access to Confluence spaces, pages, blog posts, groups, and audit logs. Uses the Confluence Cloud REST API v2 for spaces, pages, and blog posts, and the v1 API for groups and audit records. Authenticates via HTTP Basic using an Atlassian account email and API token.

Example questions

The Confluence connector is optimized to handle prompts like these.

• List all spaces in my Confluence instance
• Show me the most recently created pages
• List all blog posts
• Show me details for a specific page
• List all groups in Confluence
• Show me recent audit log entries
• Get details about a specific space
• Show me blog post details
• Find pages created in the last 7 days
• What spaces have the most pages?
• Show me all pages in a specific space
• Find blog posts by a specific author
• What audit events happened this week?

Unsupported questions

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

• Create a new page in Confluence
• Update an existing page
• Delete a space
• Upload an attachment to a page
• Manage space permissions

Installation

uv pip install airbyte-agent-confluence

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_confluence import ConfluenceConnector
from airbyte_agent_confluence.models import ConfluenceAuthConfig

connector = ConfluenceConnector(
    auth_config=ConfluenceAuthConfig(
        username="<Your Atlassian account email address>",
        password="<Your Confluence API token from https://id.atlassian.com/manage-profile/security/api-tokens>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@ConfluenceConnector.tool_utils
async def confluence_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_confluence import ConfluenceConnector, AirbyteAuthConfig

connector = ConfluenceConnector(
    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
@ConfluenceConnector.tool_utils
async def confluence_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.

Authentication

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

Confluence API docs

See the official Confluence API reference.

Version information

• Package version: 0.1.15
• Connector version: 1.0.1
• Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
• Changelog: View changelog