Jira

Connect to Jira. Manage issues, projects, workflows, and agile development processes

Supports authentication: OAuth 2.0

Set up the agent connector

Register your Scalekit environment with the Jira connector so Scalekit handles the authentication flow and token lifecycle for you. The connection name you create will be used to identify and invoke the connection programmatically. You’ll need your app credentials from the Atlassian Developer Console.

1. Set up auth redirects

   • In Scalekit dashboard, go to Agent Auth → Create Connection.

   • Find Jira from the list of providers and click Create.

   • Copy the redirect URI. It looks like https://<SCALEKIT_ENVIRONMENT_URL>/sso/v1/oauth/<CONNECTION_ID>/callback.

     

   • In the Atlassian Developer Console, open your app and go to APIs and Features → OAuth 2.0 (3LO).

   • Paste the copied URI into the Callback URL field and save.

     

2. Get client credentials

   In the Atlassian Developer Console, open your app and go to App Details:

   • Client ID — listed under Client ID
   • Client Secret — listed under Secret

3. Add credentials in Scalekit

   • In Scalekit dashboard, go to Agent Auth → Connections and open the connection you created.

   • Enter your credentials:

     • Client ID (from your Atlassian app)
     • Client Secret (from your Atlassian app)
     • Permissions — select the Jira API scopes your app needs (see Jira OAuth scopes)
     

   • Click Save.

Usage

Connect a user’s Jira account and make API calls on their behalf — Scalekit handles OAuth and token management automatically.

Python

import scalekit.client, os
from dotenv import load_dotenv
load_dotenv()

connection_name = "jira"  # get your connection name from connection configurations
identifier = "user_123"     # your unique user identifier

# Get your credentials from app.scalekit.com → Developers → Settings → API Credentials
scalekit_client = scalekit.client.ScalekitClient(
    client_id=os.getenv("SCALEKIT_CLIENT_ID"),
    client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
    env_url=os.getenv("SCALEKIT_ENV_URL"),
)
actions = scalekit_client.actions

# Authenticate the user
link_response = actions.get_authorization_link(
    connection_name=connection_name,
    identifier=identifier
)
# present this link to your user for authorization, or click it yourself for testing
print("🔗 Authorize Jira:", link_response.link)
input("Press Enter after authorizing...")

# Make a request via Scalekit proxy
result = actions.request(
    connection_name=connection_name,
    identifier=identifier,
    path="/rest/api/3/myself",
    method="GET"
)
print(result)