airbyte-agent-linear 0.19.58

Airbyte Linear Connector for AI platforms

Linear agent connector

Linear is a modern issue tracking and project management tool built for software development teams. This connector provides access to issues, projects, and teams for sprint planning, backlog management, and development workflow analysis.

Example questions

The Linear connector is optimized to handle prompts like these.

• Show me the open issues assigned to my team this week
• List out all projects I'm currently involved in
• Analyze the workload distribution across my development team
• What are the top priority issues in our current sprint?
• Identify the most active projects in our organization right now
• Summarize the recent issues for {team_member} in the last two weeks
• Compare the issue complexity across different teams
• Which projects have the most unresolved issues?
• Give me an overview of my team's current project backlog
• Create a new issue titled 'Fix login bug' for the Engineering team
• Update issue ABC-123 to set priority to urgent
• Change the title of issue XYZ-456 to 'Updated feature request'
• Add a comment to issue DEF-789 saying 'This is ready for review'
• Update my comment on issue to say 'Revised feedback after testing'
• Create a high priority issue for the backend team about the API performance
• List all users in my Linear workspace
• Assign John to issue ABC-123
• Unassign the current assignee from issue XYZ-456
• Who is assigned to issue DEF-789?
• Reassign issue ABC-123 from John to Jane

Unsupported questions

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

• Delete an outdated project from our workspace
• Schedule a sprint planning meeting
• Delete this issue
• Remove a comment from an issue

Installation

uv pip install airbyte-agent-linear

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_linear import LinearConnector
from airbyte_agent_linear.models import LinearAuthConfig

connector = LinearConnector(
    auth_config=LinearAuthConfig(
        api_key="<Your Linear API key from Settings > API > Personal API keys>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@LinearConnector.describe
async def linear_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_linear import LinearConnector

connector = LinearConnector(
    external_user_id="<your-scoped-token>",
    airbyte_client_id="<your-client-id>",
    airbyte_client_secret="<your-client-secret>"
)

@agent.tool_plain # assumes you're using Pydantic AI
@LinearConnector.describe
async def linear_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

This connector supports the following entities and actions.

Entity	Actions
Issues	List, Get, Create, Update
Projects	List, Get
Teams	List, Get
Users	List, Get
Comments	List, Get, Create, Update

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

For detailed documentation on available actions and parameters, see this connector's full reference documentation.

For the service's official API docs, see the Linear API reference.

Version information

• Package version: 0.19.58
• Connector version: 0.1.6
• Generated with Connector SDK commit SHA: 32c5ef4692be2243558faa20132b3ece7d573aed