Skip to main content

Airbyte Asana Connector for AI platforms

Project description

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, 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: 0.19.123
  • Connector version: 0.1.16
  • Generated with Connector SDK commit SHA: bbb4625615c5a514170db99dfb0a413153726447
  • Changelog: View changelog

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airbyte_agent_asana-0.19.123.tar.gz (167.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

airbyte_agent_asana-0.19.123-py3-none-any.whl (189.7 kB view details)

Uploaded Python 3

File details

Details for the file airbyte_agent_asana-0.19.123.tar.gz.

File metadata

  • Download URL: airbyte_agent_asana-0.19.123.tar.gz
  • Upload date:
  • Size: 167.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for airbyte_agent_asana-0.19.123.tar.gz
Algorithm Hash digest
SHA256 6d7eb5f2a2a638cb7f24977129870bdb6242b455714596e190ab9176a184e08d
MD5 c8fb29ae72602034f2c4db81876f8118
BLAKE2b-256 3a6951ddc8ea396e1a6d4c7452b05ebabe606c4d657180efc3643e4c25505044

See more details on using hashes here.

File details

Details for the file airbyte_agent_asana-0.19.123-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_asana-0.19.123-py3-none-any.whl
Algorithm Hash digest
SHA256 064beb963170411c41a2a5d1610a2c05f30b33f1f0a3d81711d2ad4477f4b74c
MD5 71968ca5eafbf16021ebde63e531593d
BLAKE2b-256 b21baa07ea82f2ce82e84e6534acc4ed76b20609b4e2848dd5c3e96a199e9a77

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page