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Airbyte Jira Connector for AI platforms

Project description

Jira agent connector

Connector for Jira API

Example questions

The Jira connector is optimized to handle prompts like these.

  • Show me all open issues in the {project_key} project
  • What issues are assigned to {team_member} this week?
  • Find all high priority bugs in our current sprint
  • Get the details of issue {issue_key}
  • List all issues created in the last 7 days
  • Show me overdue issues across all projects
  • List all projects in my Jira instance
  • Get details of the {project_key} project
  • What projects have the most issues?
  • Who are all the users in my Jira instance?
  • Search for users named {user_name}
  • Get details of user {team_member}
  • Show me all comments on issue {issue_key}
  • How much time has been logged on issue {issue_key}?
  • List all worklogs for {issue_key} this month

Unsupported questions

The Jira connector isn't currently able to handle prompts like these.

  • Create a new issue in {project_key}
  • Update the status of {issue_key}
  • Add a comment to {issue_key}
  • Log time on {issue_key}
  • Delete issue {issue_key}
  • Assign {issue_key} to {team_member}

Installation

uv pip install airbyte-agent-jira

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_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>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@JiraConnector.describe
async def jira_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_jira import JiraConnector

connector = JiraConnector(
    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
@JiraConnector.describe
async def jira_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 Api_search, Get
Projects Api_search, Get
Users Get, List, Api_search
Issue Fields List, Api_search
Issue Comments List, Get
Issue Worklogs List, Get

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 Jira API reference.

Version information

  • Package version: 0.1.48
  • Connector version: 1.0.6
  • Generated with Connector SDK commit SHA: f17cdd8c92950751a75daff9c6bf74df05774ede

Project details


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