Skip to main content

Airbyte Linear Connector for AI platforms

Project description

Linear

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

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
  • List all users in my Linear workspace
  • Who is assigned to the most recently updated issue?
  • Create a new issue titled 'Fix login bug'
  • Update the priority of a recent issue to urgent
  • Change the title of a recent issue to 'Updated feature request'
  • Add a comment to a recent issue saying 'This is ready for review'
  • Update my most recent comment to say 'Revised feedback after testing'
  • Create a high priority issue about API performance
  • Assign a recent issue to a teammate
  • Unassign the current assignee from a recent issue
  • Reassign a recent issue from one teammate to another
  • Create a new issue in the 'Backend Improvements' project
  • Add a recent issue to a specific project
  • Move an issue to a different project
  • 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

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  • Delete an outdated project from our workspace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.tool_utils
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. 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_linear import LinearConnector, AirbyteAuthConfig

connector = LinearConnector(
    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
@LinearConnector.tool_utils
async def linear_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
Issues List, Get, Create, Update, Search
Projects List, Get, Search
Teams List, Get, Search
Users List, Get, Search
Comments List, Get, Create, Update, Search

Authentication

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

Linear API docs

See the official Linear API reference.

Version information

  • Package version: 0.19.125
  • Connector version: 0.1.15
  • Generated with Connector SDK commit SHA: e4c7493336bcabf5bea5a761ab7b4edfe2a606a5
  • 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_linear-0.19.125.tar.gz (164.4 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-0.19.125-py3-none-any.whl (188.2 kB view details)

Uploaded Python 3

File details

Details for the file airbyte_agent_linear-0.19.125.tar.gz.

File metadata

  • Download URL: airbyte_agent_linear-0.19.125.tar.gz
  • Upload date:
  • Size: 164.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for airbyte_agent_linear-0.19.125.tar.gz
Algorithm Hash digest
SHA256 80b41584bdb7b7148f98043e197acc5aebfb96f71e55332fa4d974cfeec76cab
MD5 1bd3bbb380ba31358c0d88c467a045fb
BLAKE2b-256 0f4382d9b4be1ff152959da9b8f2df35281ff75cf099ae30ba200a3a9d1effbf

See more details on using hashes here.

File details

Details for the file airbyte_agent_linear-0.19.125-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_linear-0.19.125-py3-none-any.whl
Algorithm Hash digest
SHA256 00493a4f18ee13b84bbf7848d96d68536f0f28d437ca35015f08fbef77554c89
MD5 e4da84714df2b092eb9d2bef9d90a5a3
BLAKE2b-256 b871ea45e3dbcedf0291e22845185e4cd487ca6eaa11d7024c92096ea4a15973

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