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. 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_asana import AsanaConnector, AirbyteAuthConfig

connector = AsanaConnector(
    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
@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, Context Store Search
Project Tasks	List
Workspace Task Search	List
Projects	List, Get, Context Store Search
Task Projects	List
Team Projects	List
Workspace Projects	List
Workspaces	List, Get, Context Store Search
Users	List, Get, Context Store Search
Workspace Users	List
Team Users	List
Teams	Get, Context Store Search
Workspace Teams	List
User Teams	List
Attachments	List, Get, Download, Context Store Search
Workspace Tags	List
Tags	Get, Context Store Search
Project Sections	List
Sections	Get, Context Store 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: 0.19.136
Connector version: 0.1.20
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Metadata

Release files for airbyte-agent-asana 0.19.136

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for airbyte-agent-asana 0.19.136
File	Size	Uploaded
airbyte_agent_asana-0.19.136.tar.gz	174.7 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-asana 0.19.136
File	Interpreter	ABI	Platform	Reset
airbyte_agent_asana-0.19.136-py3-none-any.whl 197.0 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 371.7 kB

Release files / airbyte_agent_asana-0.19.136.tar.gz

Download URL	airbyte_agent_asana-0.19.136.tar.gz
Size	174.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`f0f738845145fc231189dac54ebd9f52bcbe81b8731346afc5a588f446b1a0ea`
BLAKE2b-256 checksum How to use checksums	`45f88ee8a9828156bd2d0888897952baf38e125d416e939440023a7791c1955d`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / airbyte_agent_asana-0.19.136-py3-none-any.whl

Download URL	airbyte_agent_asana-0.19.136-py3-none-any.whl
Size	197.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f58bdbd7c4177290bd90d6127bb5a7df3cc75852ac4728aa0416484bafa13000`
BLAKE2b-256 checksum How to use checksums	`88e81b03f501a5f297f7cdeb9775dc35ba3b0f772f57cae979155aca0f211733`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`