Jira authentication
This page documents the authentication and configuration options for the Jira agent connector.
Hosted mode (most cases)
In hosted mode, create the connector through the Airbyte Agent CLI or API, then execute operations using the CLI, Python SDK, or API. If you need a step-by-step guide, see the developer quickstart.
OAuth
Use the CLI for hosted OAuth connector creation when possible. It opens the hosted setup flow and avoids passing connector secrets through the command line:
airbyte-agent login
airbyte-agent connectors create --json '{
"workspace": "<your_workspace_name>",
"name": "jira"
}'
For API-first use cases, create a connector with OAuth credentials directly.
credentials fields you need:
| Field Name | Type | Required | Description |
|---|---|---|---|
access_token | str | No | Your Jira Cloud OAuth 2.0 access token |
refresh_token | str | Yes | Your Jira Cloud OAuth 2.0 refresh token (requires offline_access scope) |
client_id | str | No | Your Jira OAuth App Client ID from the Atlassian Developer Console |
client_secret | str | No | Your Jira OAuth App Client Secret from the Atlassian Developer Console |
Example request:
curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors" \
-H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
-H "Content-Type: application/json" \
-d '{
"workspace_name": "<WORKSPACE_NAME>",
"connector_type": "Jira",
"name": "My Jira Connector",
"credentials": {
"access_token": "<Your Jira Cloud OAuth 2.0 access token>",
"refresh_token": "<Your Jira Cloud OAuth 2.0 refresh token (requires offline_access scope)>",
"client_id": "<Your Jira OAuth App Client ID from the Atlassian Developer Console>",
"client_secret": "<Your Jira OAuth App Client Secret from the Atlassian Developer Console>"
}
}'
Token
Create a connector with Token credentials.
credentials fields you need:
| Field Name | Type | Required | Description |
|---|---|---|---|
username | str | Yes | Your Atlassian account email address |
password | str | Yes | Your Jira API token from https://id.atlassian.com/manage-profile/security/api-tokens |
Example request:
curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors" \
-H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
-H "Content-Type: application/json" \
-d '{
"workspace_name": "<WORKSPACE_NAME>",
"connector_type": "Jira",
"name": "My Jira Connector",
"credentials": {
"username": "<Your Atlassian account email address>",
"password": "<Your Jira API token from https://id.atlassian.com/manage-profile/security/api-tokens>"
}
}'
Execution
After creating the connector, execute operations using the CLI, Python SDK, or API.
If your Airbyte client can access multiple organizations, set the default organization with airbyte-agent organizations use, include organization_id in AirbyteAuthConfig, or include X-Organization-Id in raw API calls.
CLI
Authenticate with Airbyte:
airbyte-agent login
Create the connector. The CLI opens the hosted setup flow:
airbyte-agent connectors create --json '{
"workspace": "<your_workspace_name>",
"name": "jira"
}'
Describe the connector to see its supported entities and actions:
airbyte-agent connectors describe --json '{
"workspace": "<your_workspace_name>",
"name": "jira"
}'
Execute an action:
airbyte-agent connectors execute --json '{
"workspace": "<your_workspace_name>",
"name": "jira",
"entity": "<entity>",
"action": "<action>",
"params": {}
}'
Python SDK
The connect() factory returns a fully typed JiraConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:
- Pydantic AI
- LangChain
- OpenAI Agents
- FastMCP
from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.jira import JiraConnector
connector = connect("jira", workspace_name="<your_workspace_name>")
agent = Agent("openai:gpt-4o")
@agent.tool_plain
@JiraConnector.tool_utils
async def jira_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
from langchain_core.tools import tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.jira import JiraConnector
connector = connect("jira", workspace_name="<your_workspace_name>")
@tool
@JiraConnector.tool_utils
async def jira_execute(entity: str, action: str, params: dict | None = None):
"""Execute Jira connector operations."""
result = await connector.execute(entity, action, params or {})
# connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
from agents import Agent, function_tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.jira import JiraConnector
connector = connect("jira", workspace_name="<your_workspace_name>")
# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@JiraConnector.tool_utils(framework="openai_agents")
async def jira_execute(entity: str, action: str, params: dict | None = None):
"""Execute Jira connector operations."""
result = await connector.execute(entity, action, params or {})
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
agent = Agent(name="Jira Assistant", tools=[jira_execute])
from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.jira import JiraConnector
connector = connect("jira", workspace_name="<your_workspace_name>")
mcp = FastMCP("Jira Agent")
@mcp.tool
@JiraConnector.tool_utils
async def jira_execute(entity: str, action: str, params: dict | None = None):
"""Execute Jira connector operations."""
result = await connector.execute(entity, action, params or {})
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
Or pass credentials explicitly (equivalent, useful when you're not loading them from the environment): Pydantic AI
- Pydantic AI
- LangChain
- OpenAI Agents
- FastMCP
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.jira import JiraConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = JiraConnector(
auth_config=AirbyteAuthConfig(
workspace_name="<your_workspace_name>",
organization_id="<your_organization_id>", # Optional for multi-org clients
airbyte_client_id="<your-client-id>",
airbyte_client_secret="<your-client-secret>"
)
)
agent = Agent("openai:gpt-4o")
@agent.tool_plain
@JiraConnector.tool_utils
async def jira_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.jira import JiraConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = JiraConnector(
auth_config=AirbyteAuthConfig(
workspace_name="<your_workspace_name>",
organization_id="<your_organization_id>", # Optional for multi-org clients
airbyte_client_id="<your-client-id>",
airbyte_client_secret="<your-client-secret>"
)
)
@tool
@JiraConnector.tool_utils
async def jira_execute(entity: str, action: str, params: dict | None = None):
"""Execute Jira connector operations."""
result = await connector.execute(entity, action, params or {})
# connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.jira import JiraConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = JiraConnector(
auth_config=AirbyteAuthConfig(
workspace_name="<your_workspace_name>",
organization_id="<your_organization_id>", # Optional for multi-org clients
airbyte_client_id="<your-client-id>",
airbyte_client_secret="<your-client-secret>"
)
)
# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@JiraConnector.tool_utils(framework="openai_agents")
async def jira_execute(entity: str, action: str, params: dict | None = None):
"""Execute Jira connector operations."""
result = await connector.execute(entity, action, params or {})
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
agent = Agent(name="Jira Assistant", tools=[jira_execute])
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.jira import JiraConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = JiraConnector(
auth_config=AirbyteAuthConfig(
workspace_name="<your_workspace_name>",
organization_id="<your_organization_id>", # Optional for multi-org clients
airbyte_client_id="<your-client-id>",
airbyte_client_secret="<your-client-secret>"
)
)
mcp = FastMCP("Jira Agent")
@mcp.tool
@JiraConnector.tool_utils
async def jira_execute(entity: str, action: str, params: dict | None = None):
"""Execute Jira connector operations."""
result = await connector.execute(entity, action, params or {})
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
API
curl -X POST 'https://api.airbyte.ai/api/v1/integrations/connectors/<connector_id>/execute' \
-H 'Authorization: Bearer <YOUR_BEARER_TOKEN>' \
-H 'X-Organization-Id: <YOUR_ORGANIZATION_ID>' \
-H 'Content-Type: application/json' \
-d '{"entity": "<entity>", "action": "<action>", "params": {}}'
Open source mode
In open source mode, provide API credentials directly to the connector.
OAuth
credentials fields you need:
| Field Name | Type | Required | Description |
|---|---|---|---|
access_token | str | No | Your Jira Cloud OAuth 2.0 access token |
refresh_token | str | Yes | Your Jira Cloud OAuth 2.0 refresh token (requires offline_access scope) |
client_id | str | No | Your Jira OAuth App Client ID from the Atlassian Developer Console |
client_secret | str | No | Your Jira OAuth App Client Secret from the Atlassian Developer Console |
Example request:
from airbyte_agent_sdk.connectors.jira import JiraConnector
from airbyte_agent_sdk.connectors.jira.models import JiraOauth20AuthenticationAuthConfig
connector = JiraConnector(
auth_config=JiraOauth20AuthenticationAuthConfig(
access_token="<Your Jira Cloud OAuth 2.0 access token>",
refresh_token="<Your Jira Cloud OAuth 2.0 refresh token (requires offline_access scope)>",
client_id="<Your Jira OAuth App Client ID from the Atlassian Developer Console>",
client_secret="<Your Jira OAuth App Client Secret from the Atlassian Developer Console>"
)
)
Token
credentials fields you need:
| Field Name | Type | Required | Description |
|---|---|---|---|
username | str | Yes | Your Atlassian account email address |
password | str | Yes | Your Jira API token from https://id.atlassian.com/manage-profile/security/api-tokens |
Example request:
from airbyte_agent_sdk.connectors.jira import JiraConnector
from airbyte_agent_sdk.connectors.jira.models import JiraJiraApiTokenAuthenticationAuthConfig
connector = JiraConnector(
auth_config=JiraJiraApiTokenAuthenticationAuthConfig(
username="<Your Atlassian account email address>",
password="<Your Jira API token from https://id.atlassian.com/manage-profile/security/api-tokens>"
)
)
Configuration
The Jira connector also needs these configuration values to construct the base API URL.
- Hosted CLI:
airbyte-agent connectors createdoesn't currently accept these configuration fields directly. For hosted connectors that need these values, create the connector with the hosted APIreplication_config, then use the CLI for describe and execute operations after creation. - Hosted API: pass these values in the connector creation
replication_config. - Open source mode: provide these values with your local connector setup so the connector can build the correct API base URL.
| Variable | Type | Required | Default | Description |
|---|---|---|---|---|
subdomain | string | Yes | {subdomain} | Your Jira Cloud subdomain |