Skip to main content

Airbyte Linear Connector for AI platforms

Project description

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

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  • Delete an outdated project from our workspace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
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: 0.19.54
  • Connector version: 0.1.4
  • Generated with Connector SDK commit SHA: 49e6dfe93fc406c8d2ed525372608fa2766ebece

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_linear-0.19.54.tar.gz (105.9 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_linear-0.19.54-py3-none-any.whl (129.9 kB view details)

Uploaded Python 3

File details

Details for the file airbyte_agent_linear-0.19.54.tar.gz.

File metadata

  • Download URL: airbyte_agent_linear-0.19.54.tar.gz
  • Upload date:
  • Size: 105.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for airbyte_agent_linear-0.19.54.tar.gz
Algorithm Hash digest
SHA256 de8ab19ca3af18918490f9c701a3a5c8b0854cfa7a097b613c8d6ec90dc6a298
MD5 c35daa07f7ae4c0f087f2c319aacdedb
BLAKE2b-256 0d763d27cdc5023112cdae34ed80a4f991619af8b5ac4faf6856fdf2f526105a

See more details on using hashes here.

File details

Details for the file airbyte_agent_linear-0.19.54-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_linear-0.19.54-py3-none-any.whl
Algorithm Hash digest
SHA256 478ae9101d9d59c082d52a0ec269e10aa79a4d3cfee9f3f1f2813d9b4fae736d
MD5 5da84ab52bbc2d2ae93468debc2fd555
BLAKE2b-256 5127f573438256479c4b866a05ab0583a0f33f0e4a039561814cdf74d4db0360

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