Greenhouse authentication

This connector is optimized for AI agents. For the data replication connector, see Greenhouse.

This page documents the authentication and configuration options for the Greenhouse agent connector.

Authentication

Open source execution

In open source mode, you provide API credentials directly to the connector.

OAuth

This authentication method isn't available for this connector.

Token

credentials fields you need:

Field Name	Type	Required	Description
api_key	str	Yes	Your Greenhouse Harvest API Key from the Dev Center

Example request:

from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector
from airbyte_agent_sdk.connectors.greenhouse.models import GreenhouseAuthConfig

connector = GreenhouseConnector(
    auth_config=GreenhouseAuthConfig(
        api_key="<Your Greenhouse Harvest API Key from the Dev Center>"
    )
)

Hosted execution

In hosted mode, you first create a connector via the Airbyte API (providing your OAuth or Token credentials), then execute operations using either the Python SDK or API. If you need a step-by-step guide, see the hosted execution tutorial.

OAuth

This authentication method isn't available for this connector.

Bring your own OAuth flow

This authentication method isn't available for this connector.

Token

Create a connector with Token credentials.

credentials fields you need:

Field Name	Type	Required	Description
api_key	str	Yes	Your Greenhouse Harvest API Key from the Dev Center

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": "Greenhouse",
    "name": "My Greenhouse Connector",
    "credentials": {
      "api_key": "<Your Greenhouse Harvest API Key from the Dev Center>"
    }
  }'

Execution

After creating the connector, execute operations using either the Python SDK or API. If your Airbyte client can access multiple organizations, include organization_id in AirbyteAuthConfig and X-Organization-Id in raw API calls.

Python SDK

The connect() factory returns a fully typed GreenhouseConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:

Pydantic AI

Pydantic AI

from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector

connector = connect("greenhouse", workspace_name="<your_workspace_name>")

@agent.tool_plain
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain

LangChain

import json

from langchain_core.tools import tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector

connector = connect("greenhouse", workspace_name="<your_workspace_name>")

@tool
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None) -> str:
    """Execute Greenhouse connector operations."""
    result = await connector.execute(entity, action, params or {})
    return json.dumps(result, default=str)

FastMCP

FastMCP

import json

from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector

connector = connect("greenhouse", workspace_name="<your_workspace_name>")

mcp = FastMCP("Greenhouse Agent")

@mcp.tool()
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None) -> str:
    """Execute Greenhouse connector operations."""
    result = await connector.execute(entity, action, params or {})
    return json.dumps(result, default=str)

Or pass credentials explicitly (equivalent, useful when you're not loading them from the environment): Pydantic AI

Pydantic AI

Pydantic AI

from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GreenhouseConnector(
    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.tool_plain
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain

LangChain

import json

from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GreenhouseConnector(
    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
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None) -> str:
    """Execute Greenhouse connector operations."""
    result = await connector.execute(entity, action, params or {})
    return json.dumps(result, default=str)

FastMCP

FastMCP

import json

from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.greenhouse import GreenhouseConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GreenhouseConnector(
    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("Greenhouse Agent")

@mcp.tool()
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None) -> str:
    """Execute Greenhouse connector operations."""
    result = await connector.execute(entity, action, params or {})
    return json.dumps(result, default=str)

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": {}}'