Installation & Usage
[01]
Install Package
Using uv or pip
BASH
uv pip install airbyte-agent-linear
[02]
Import
Initialize and use
PYTHON
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>"
)
)[03]
Tool
Add tools to your agent
python
@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
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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), [Search](./REFERENCE.md#issues-search) |\n| Projects | [List](./REFERENCE.md#projects-list), [Get](./REFERENCE.md#projects-get), [Search](./REFERENCE.md#projects-search) |\n| Teams | [List](./REFERENCE.md#teams-list), [Get](./REFERENCE.md#teams-get), [Search](./REFERENCE.md#teams-search) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Search](./REFERENCE.md#users-search) |\n| Comments | [List](./REFERENCE.md#comments-list), [Get](./REFERENCE.md#comments-get), [Create](./REFERENCE.md#comments-create), [Update](./REFERENCE.md#comments-update), [Search](./REFERENCE.md#comments-search) |
Example Prompts
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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
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Agent-Native Design
Heading
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
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
LangChain
CrewAI
LlamaIndex
AutoGen
OpenAI Agents SDK
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The Linear connector supports API key authentication. You provide your Linear API key (found in Settings > API > Personal API keys) directly via the LinearAuthConfig model. For hosted mode, Airbyte Cloud credential storage is also supported using your Airbyte client ID and secret.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
Yes, the Linear connector supports several write operations. It can create and update issues, create and update comments, and assign or reassign issues. However, it does not currently support delete operations — deleting issues, projects, or comments is not supported.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Get started in minutes with our open-source connector.