Paddle MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Paddle through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Paddle Assistant",
instructions=(
"You help users interact with Paddle. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Paddle"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Paddle MCP Server
Bring the Paddle Billing API directly into your AI workflows. Acting as your Merchant of Record (MoR) interface, this integration allows your agent to seamlessly query customer billing states, manage SaaS subscriptions, retrieve invoice ledgers, and pause actively churning plans natively.
The OpenAI Agents SDK auto-discovers all 10 tools from Paddle through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Paddle, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Customers & Billing Details — List and search all CRM accounts managed by Paddle and extract their exact tax identification boundaries
- Subscription Lifecycle — Inspect active or past-due subscriptions, cancel recurring flows dynamically, or pause an active schedule right from chat
- Transactions & Ledgering — Fetch bulk atomic transactions matching exact one-off payments, prorations, and historical subscription renewals
- Catalog Explorer — List your products and retrieve localized checkout prices and native tax-inclusive pricing definitions
The Paddle MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Paddle to OpenAI Agents SDK via MCP
Follow these steps to integrate the Paddle MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Paddle
Why Use OpenAI Agents SDK with the Paddle MCP Server
OpenAI Agents SDK provides unique advantages when paired with Paddle through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Paddle + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Paddle MCP Server delivers measurable value.
Automated workflows: build agents that query Paddle, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Paddle, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Paddle tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Paddle to resolve tickets, look up records, and update statuses without human intervention
Paddle MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Paddle to OpenAI Agents SDK via MCP:
cancel_subscription
Can be set to effective immediately or at the end of the current billing period. Cancel an active subscription
get_customer_details
Get details for a specific customer
get_subscription_details
Get details for a specific subscription
get_transaction_details
Get details for a specific transaction
list_catalog_prices
List all pricing definitions
list_catalog_products
List all products
list_customers
List all customers in Paddle
list_subscriptions
List all subscriptions
list_transactions
List all billing transactions
pause_subscription
Pause an active subscription
Example Prompts for Paddle in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Paddle immediately.
"Find the subscription details for sub_01h9z2..."
"List our most recent revenue transactions on Paddle."
"Cancel subscription sub_active123 at the end of the billing cycle."
Troubleshooting Paddle MCP Server with OpenAI Agents SDK
Common issues when connecting Paddle to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Paddle + OpenAI Agents SDK FAQ
Common questions about integrating Paddle MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Paddle with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Paddle to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
