Linear Connector for AI Agents

Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

About this 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.

CRM

Sales Analytics

Customer Data

issue tracking, project management, development workflow

Version Information

Package version

0.19.72

Connector version

0.1.8

SDK commit

5b20f488dec0e8f29410823753106603c23a4b65

Support Open Source

Star us on GitHub to help grow the Airbyte community

Github

Installation & Usage

Get started with the Linear connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-linear

2

Import

Initialize and use

python

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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>"
    )
)

3

Tool

Add tools to your agent

python

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@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 {})

Supported Entities & Actions

Access all your Linear data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Issues | [List](./REFERENCE.md#issues-list), [Get](./REFERENCE.md#issues-get), [Create](./REFERENCE.md#issues-create), [Update](./REFERENCE.md#issues-update) |\n| Projects | [List](./REFERENCE.md#projects-list), [Get](./REFERENCE.md#projects-get) |\n| Teams | [List](./REFERENCE.md#teams-list), [Get](./REFERENCE.md#teams-get) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get) |\n| Comments | [List](./REFERENCE.md#comments-list), [Get](./REFERENCE.md#comments-get), [Create](./REFERENCE.md#comments-create), [Update](./REFERENCE.md#comments-update) |

Example Prompts

The Linear connector is optimized to handle prompts like these

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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

Why Airbyte for AI Agents?

Built for production AI workloads with enterprise-grade reliability

Agent-Native Design

Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.

Secure Authentication

Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.

Production Ready

Battle-tested connectors with comprehensive error handling, logging, and retry logic.

Open Source

Fully open source under the MIT license. Contribute, customize, and extend freely.

Works with your favorite frameworks

Use the Linear connector with any AI agent framework

🦜

LangChain

🦙

LlamaIndex

🤖

CrewAI

AutoGen

🧠

OpenAI Agents SDK

🔮

Claude Agents SDK

Frequently Asked Questions

Didn't find your answer? Please don't hesitate to reach out.

How do I authenticate with Linear?

What authentication methods does the Linear connector support?

Can I use this connector with any AI agent framework?

What AI agent frameworks is this connector compatible with?

Does this connector support write operations?

Does the Linear connector support write operations?

How is this different from the Airbyte data connector?

How is this different from traditional Airbyte connectors?

Will there be a platform for agent connectors?

When will the hosted version be available?

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors