Agent Connector

Connect your agents to Jira

Production-ready access to your Jira data with managed auth, parametric control, and the reliability your agents need to actually work.

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Installation & Usage

Get start with the Jira connector in minutes.

[01]

Install Package

Using uv or pip

BASH

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uv pip install airbyte-agent-jira

[02]

Import

Initialize and use

PYTHON

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from airbyte_agent_jira import JiraConnector
from airbyte_agent_jira.models import JiraAuthConfig

connector = JiraConnector(
    auth_config=JiraAuthConfig(
        username="<Your Atlassian account email address>",
        password="<Your Jira API token from https://id.atlassian.com/manage-profile/security/api-tokens>"
    )
)

[03]

Tool

Add tools to your agent

python

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

Supported Entities & Actions

Access all your Jira data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Issues | [API Search](./REFERENCE.md#issues-api_search), [Create](./REFERENCE.md#issues-create), [Get](./REFERENCE.md#issues-get), [Update](./REFERENCE.md#issues-update), [Delete](./REFERENCE.md#issues-delete), [Search](./REFERENCE.md#issues-search) |\n| Projects | [API Search](./REFERENCE.md#projects-api_search), [Get](./REFERENCE.md#projects-get), [Search](./REFERENCE.md#projects-search) |\n| Users | [Get](./REFERENCE.md#users-get), [List](./REFERENCE.md#users-list), [API Search](./REFERENCE.md#users-api_search), [Search](./REFERENCE.md#users-search) |\n| Issue Fields | [List](./REFERENCE.md#issue-fields-list), [API Search](./REFERENCE.md#issue-fields-api_search), [Search](./REFERENCE.md#issue-fields-search) |\n| Issue Comments | [List](./REFERENCE.md#issue-comments-list), [Create](./REFERENCE.md#issue-comments-create), [Get](./REFERENCE.md#issue-comments-get), [Update](./REFERENCE.md#issue-comments-update), [Delete](./REFERENCE.md#issue-comments-delete), [Search](./REFERENCE.md#issue-comments-search) |\n| Issue Worklogs | [List](./REFERENCE.md#issue-worklogs-list), [Get](./REFERENCE.md#issue-worklogs-get), [Search](./REFERENCE.md#issue-worklogs-search) |\n| Issues Assignee | [Update](./REFERENCE.md#issues-assignee-update) |

View full reference documentation

Example Prompts

The Jira connector is optimized to handle prompts like these

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Show me all open issues in my Jira instance - List recent issues created in the last 7 days - List all projects in my Jira instance - Show me details for the most recently updated issue - List all users in my Jira instance - Show me comments on the most recent issue - Show me worklogs from the last 7 days - Assign a recent issue to a teammate - Unassign a recent issue - Create a new task called 'Sample task' in a project - Create a bug with high priority - Update the summary of a recent issue to 'Updated summary' - Change the priority of a recent issue to high - Add a comment to a recent issue saying 'Please investigate' - Update my most recent comment - Delete a test issue - Remove my most recent comment - What issues are assigned to \{team_member\} this week? - Find all high priority bugs in our current sprint - Show me overdue issues across all projects - What projects have the most issues? - Search for users named \{user_name\}

View full reference documentation

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
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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.

Explore more connectorsTalk to sales

Works with your favorite frameworks

Use the Salesforce connector with any AI agent framework.

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.

How do I authenticate with Jira?

The Jira connector supports two authentication methods: Open source mode uses your Atlassian account email address and a Jira API token (obtained from https://id.atlassian.com/manage-profile/security/api-tokens) provided directly to the connector. Hosted mode uses Airbyte Cloud credentials (customer name, organization ID, client ID, and client secret) to securely store and manage your Jira credentials.

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 Jira connector supports write operations. It can create issues, update issues, delete issues, create and update comments, delete comments, and update issue assignees. Note that time logging (worklogs) and issue transitions are not currently 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.

Ready to connect your AI agents to Jira?

Get started in minutes with our open-source connector.

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