Woocommerce authentication
This page documents the authentication and configuration options for the Woocommerce 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
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 | WooCommerce REST API consumer key (starts with ck_) |
api_secret | str | Yes | WooCommerce REST API consumer secret (starts with cs_) |
replication_config fields you need:
| Field Name | Type | Required | Description |
|---|---|---|---|
start_date | str (date) | Yes | UTC date in the format YYYY-MM-DD from which to start replicating data. |
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": "Woocommerce",
"name": "My Woocommerce Connector",
"credentials": {
"api_key": "<WooCommerce REST API consumer key (starts with ck_)>",
"api_secret": "<WooCommerce REST API consumer secret (starts with cs_)>"
},
"replication_config": {
"start_date": "<UTC date in the format YYYY-MM-DD from which to start replicating data.>"
}
}'
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": "woocommerce"
}'
Describe the connector to see its supported entities and actions:
airbyte-agent connectors describe --json '{
"workspace": "<your_workspace_name>",
"name": "woocommerce"
}'
Execute an action:
airbyte-agent connectors execute --json '{
"workspace": "<your_workspace_name>",
"name": "woocommerce",
"entity": "<entity>",
"action": "<action>",
"params": {}
}'
Python SDK
The connect() factory returns a fully typed WoocommerceConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:
The recommended pattern is build_connector_tools, which gives the agent three tools bound to this connector: inspect_connector, read_skill_docs, and execute. The agent can inspect the connector, read only the skill-doc section it needs, and then execute:
inspect_connector() -> read_skill_docs() -> read_skill_docs(section="...") -> execute(entity, action, params)
- Pydantic AI
- LangChain
- OpenAI Agents
- FastMCP
from airbyte_agent_sdk import build_connector_tools
from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
tools = build_connector_tools(connector, framework="pydantic_ai")
agent = Agent("openai:gpt-4o", tools=tools.as_list())
from airbyte_agent_sdk import build_connector_tools
from langchain_core.tools import StructuredTool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
tools = build_connector_tools(connector, framework="langchain")
langchain_tools = [
StructuredTool.from_function(
coroutine=tool,
name=tool.__name__,
description=tool.__doc__,
)
for tool in tools.as_list()
]
from airbyte_agent_sdk import build_connector_tools
from agents import Agent, function_tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
tools = build_connector_tools(connector, framework="openai_agents")
openai_tools = [function_tool(tool, strict_mode=False) for tool in tools.as_list()]
agent = Agent(name="Woocommerce Assistant", tools=openai_tools)
from airbyte_agent_sdk import build_connector_tools
from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
mcp = FastMCP("Woocommerce Agent")
for tool in build_connector_tools(connector, framework="mcp").as_list():
mcp.tool(tool)
Legacy alternatives
These examples are kept for existing integrations. For new agents, use build_connector_tools above. The legacy WoocommerceConnector.tool_utils pattern loads the connector's full generated catalog into one broad execute tool description instead of letting the agent read skill docs on demand.
- Pydantic AI
- LangChain
- OpenAI Agents
- FastMCP
from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
agent = Agent("openai:gpt-4o")
@agent.tool_plain
@WoocommerceConnector.tool_utils
async def woocommerce_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.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
@tool
@WoocommerceConnector.tool_utils
async def woocommerce_execute(entity: str, action: str, params: dict | None = None):
"""Execute Woocommerce 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.woocommerce import WoocommerceConnector
connector = connect("woocommerce", 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)
@WoocommerceConnector.tool_utils(framework="openai_agents")
async def woocommerce_execute(entity: str, action: str, params: dict | None = None):
"""Execute Woocommerce 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="Woocommerce Assistant", tools=[woocommerce_execute])
from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
connector = connect("woocommerce", workspace_name="<your_workspace_name>")
mcp = FastMCP("Woocommerce Agent")
@mcp.tool
@WoocommerceConnector.tool_utils
async def woocommerce_execute(entity: str, action: str, params: dict | None = None):
"""Execute Woocommerce 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
- LangChain
- OpenAI Agents
- FastMCP
from airbyte_agent_sdk import build_connector_tools
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = WoocommerceConnector(
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>"
)
)
tools = build_connector_tools(connector, framework="pydantic_ai")
agent = Agent("openai:gpt-4o", tools=tools.as_list())
from airbyte_agent_sdk import build_connector_tools
from langchain_core.tools import StructuredTool
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = WoocommerceConnector(
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>"
)
)
tools = build_connector_tools(connector, framework="langchain")
langchain_tools = [
StructuredTool.from_function(
coroutine=tool,
name=tool.__name__,
description=tool.__doc__,
)
for tool in tools.as_list()
]
from airbyte_agent_sdk import build_connector_tools
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = WoocommerceConnector(
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>"
)
)
tools = build_connector_tools(connector, framework="openai_agents")
openai_tools = [function_tool(tool, strict_mode=False) for tool in tools.as_list()]
agent = Agent(name="Woocommerce Assistant", tools=openai_tools)
from airbyte_agent_sdk import build_connector_tools
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = WoocommerceConnector(
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("Woocommerce Agent")
for tool in build_connector_tools(connector, framework="mcp").as_list():
mcp.tool(tool)
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
This authentication method isn't available for this connector.
Token
credentials fields you need:
| Field Name | Type | Required | Description |
|---|---|---|---|
api_key | str | Yes | WooCommerce REST API consumer key (starts with ck_) |
api_secret | str | Yes | WooCommerce REST API consumer secret (starts with cs_) |
Example request:
from airbyte_agent_sdk.connectors.woocommerce import WoocommerceConnector
from airbyte_agent_sdk.connectors.woocommerce.models import WoocommerceAuthConfig
connector = WoocommerceConnector(
auth_config=WoocommerceAuthConfig(
api_key="<WooCommerce REST API consumer key (starts with ck_)>",
api_secret="<WooCommerce REST API consumer secret (starts with cs_)>"
)
)
Configuration
The Woocommerce 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 |
|---|---|---|---|---|
shop | string | Yes | example.com | The WooCommerce store domain (e.g., mystore.com) |