airbyte-agent-asana 0.19.107

Airbyte Asana Connector for AI platforms

Asana

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

Asana is a work management platform that helps teams organize, track, and manage projects and tasks. This connector provides access to tasks, projects, workspaces, teams, and users for project tracking, workload analysis, and productivity insights.

Example questions

The Asana connector is optimized to handle prompts like these.

• What tasks are assigned to me this week?
• List all projects in my workspace
• Show me the tasks for a recent project
• Who are the team members in one of my teams?
• Show me details of my current workspace and its users
• Summarize my team's workload and task completion rates
• Find all tasks related to {client_name} across my workspaces
• Analyze the most active projects in my workspace last month
• Compare task completion rates between my different teams
• Identify overdue tasks across all my projects

Unsupported questions

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

• Create a new task for [TeamMember]
• Update the priority of this task
• Delete the project [ProjectName]
• Schedule a new team meeting
• Add a new team member to [Workspace]
• Move this task to another project

Installation

uv pip install airbyte-agent-asana

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_asana import AsanaConnector
from airbyte_agent_asana.models import AsanaPersonalAccessTokenAuthConfig

connector = AsanaConnector(
    auth_config=AsanaPersonalAccessTokenAuthConfig(
        token="<Your Asana Personal Access Token. Generate one at https://app.asana.com/0/my-apps>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@AsanaConnector.tool_utils
async def asana_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.

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_asana import AsanaConnector, AirbyteAuthConfig

connector = AsanaConnector(
    auth_config=AirbyteAuthConfig(
        external_user_id="<your_external_user_id>",
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@AsanaConnector.tool_utils
async def asana_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
Tasks	List, Get, Search
Project Tasks	List
Workspace Task Search	List
Projects	List, Get, Search
Task Projects	List
Team Projects	List
Workspace Projects	List
Workspaces	List, Get, Search
Users	List, Get, Search
Workspace Users	List
Team Users	List
Teams	Get, Search
Workspace Teams	List
User Teams	List
Attachments	List, Get, Download, Search
Workspace Tags	List
Tags	Get, Search
Project Sections	List
Sections	Get, Search
Task Subtasks	List
Task Dependencies	List
Task Dependents	List

Authentication

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

Asana API docs

See the official Asana API reference.

Version information

• Package version: 0.19.107
• Connector version: 0.1.15
• Generated with Connector SDK commit SHA: 3f4da97b971360f39e879a898fabe79b5362a117
• Changelog: View changelog