Paypal-Transaction
The Paypal-Transaction agent connector is a Python package that equips AI agents to interact with Paypal-Transaction through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.
Connector for the PayPal Transaction Search API. Provides access to transaction history, account balances, payments, disputes, catalog products, and invoices for a PayPal account. Uses OAuth2 client credentials for authentication.
Example prompts
The Paypal-Transaction connector is optimized to handle prompts like these.
- List all balances for my PayPal account
- Show recent transactions from the last 7 days
- List all catalog products
- Show details for a specific product
- List all disputes
- Show recent payments
- What transactions had the highest amounts last month?
- Find all declined transactions
- Show disputes grouped by status
- What is the total balance across all currencies?
Unsupported prompts
The Paypal-Transaction connector isn't currently able to handle prompts like these.
- Create a new payment
- Refund a transaction
- Delete a dispute
- Update product details
Entities and actions
This connector supports the following entities and actions. For more details, see this connector's full reference documentation.
| Entity | Actions |
|---|---|
| Balances | List, Context Store Search |
| Transactions | List, Context Store Search |
| List Payments | List, Context Store Search |
| List Disputes | List, Context Store Search |
| List Products | List, Context Store Search |
| Show Product Details | Get, Context Store Search |
| Search Invoices | List, Context Store Search |
Paypal-Transaction API docs
See the official Paypal-Transaction API reference.
SDK installation
uv pip install airbyte-agent-sdk
SDK usage
Connectors can run in hosted or open source mode.
Hosted
In hosted mode, API credentials are stored securely in Airbyte Agents. You provide your Airbyte credentials instead.
If your Airbyte client can access multiple organizations, also set organization_id.
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.
The connect() factory returns a fully typed PaypalTransactionConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:
- Pydantic AI
- LangChain
- OpenAI Agents
- FastMCP
Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
connector = connect("paypal-transaction", workspace_name="<your_workspace_name>")
agent = Agent("openai:gpt-4o")
@agent.tool_plain
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
connector = connect("paypal-transaction", workspace_name="<your_workspace_name>")
@tool
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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
OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
connector = connect("paypal-transaction", 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)
@PaypalTransactionConnector.tool_utils(framework="openai_agents")
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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="Paypal-Transaction Assistant", tools=[paypal_transaction_execute])
FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
connector = connect("paypal-transaction", workspace_name="<your_workspace_name>")
mcp = FastMCP("Paypal-Transaction Agent")
@mcp.tool
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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
Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = PaypalTransactionConnector(
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
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = PaypalTransactionConnector(
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
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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
OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = PaypalTransactionConnector(
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)
@PaypalTransactionConnector.tool_utils(framework="openai_agents")
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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="Paypal-Transaction Assistant", tools=[paypal_transaction_execute])
FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig
connector = PaypalTransactionConnector(
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("Paypal-Transaction Agent")
@mcp.tool
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction connector operations."""
result = await connector.execute(entity, action, params or {})
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
Open source
In open source mode, you provide API credentials directly to the connector.
- Pydantic AI
- LangChain
- OpenAI Agents
- FastMCP
Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.connectors.paypal_transaction.models import PaypalTransactionAuthConfig
connector = PaypalTransactionConnector(
auth_config=PaypalTransactionAuthConfig(
client_id="<The Client ID of your PayPal developer application.>",
client_secret="<The Client Secret of your PayPal developer application.>",
access_token="<OAuth2 access token obtained via client credentials grant. Use the PayPal token endpoint with your client_id and client_secret to obtain this.
>"
)
)
agent = Agent("openai:gpt-4o")
@agent.tool_plain
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})
LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.connectors.paypal_transaction.models import PaypalTransactionAuthConfig
connector = PaypalTransactionConnector(
auth_config=PaypalTransactionAuthConfig(
client_id="<The Client ID of your PayPal developer application.>",
client_secret="<The Client Secret of your PayPal developer application.>",
access_token="<OAuth2 access token obtained via client credentials grant. Use the PayPal token endpoint with your client_id and client_secret to obtain this.
>"
)
)
@tool
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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
OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.connectors.paypal_transaction.models import PaypalTransactionAuthConfig
connector = PaypalTransactionConnector(
auth_config=PaypalTransactionAuthConfig(
client_id="<The Client ID of your PayPal developer application.>",
client_secret="<The Client Secret of your PayPal developer application.>",
access_token="<OAuth2 access token obtained via client credentials grant. Use the PayPal token endpoint with your client_id and client_secret to obtain this.
>"
)
)
# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@PaypalTransactionConnector.tool_utils(framework="openai_agents")
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction 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="Paypal-Transaction Assistant", tools=[paypal_transaction_execute])
FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.paypal_transaction import PaypalTransactionConnector
from airbyte_agent_sdk.connectors.paypal_transaction.models import PaypalTransactionAuthConfig
connector = PaypalTransactionConnector(
auth_config=PaypalTransactionAuthConfig(
client_id="<The Client ID of your PayPal developer application.>",
client_secret="<The Client Secret of your PayPal developer application.>",
access_token="<OAuth2 access token obtained via client credentials grant. Use the PayPal token endpoint with your client_id and client_secret to obtain this.
>"
)
)
mcp = FastMCP("Paypal-Transaction Agent")
@mcp.tool
@PaypalTransactionConnector.tool_utils
async def paypal_transaction_execute(entity: str, action: str, params: dict | None = None):
"""Execute Paypal-Transaction connector operations."""
result = await connector.execute(entity, action, params or {})
return result.model_dump(mode="json") if hasattr(result, "model_dump") else result
Authentication
For all authentication options, see the connector's authentication documentation.
Version information
Connector version: 1.0.3