How to Use the MoonClerk MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK handle rate limits when querying this MoonClerk MCP server?

The SDK intercepts API limit errors during calls like listpayments. You can configure the agent to back off and retry or immediately log the trace to your OpenAI dashboard.

Q: What is the fastest way to verify a customer profile?

Have your agent call getcustomer with the unique customer ID. The tool returns the profile data, including metadata and linked payment forms, in a single round-trip.

Fetch active subscriptions and run billing checks directly inside your OpenAI Agents SDK production pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MoonClerk MCP to OpenAI Agents SDK

Create your Vinkius account to connect MoonClerk to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup MoonClerk with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate billing states in production agents

The MoonClerk MCP server exposes the `get_subscription` tool to let your OpenAI Agents SDK inspect active customer tiers before executing code paths. Your agent queries the billing status of a specific user, parses the response, and uses built-in guardrails to verify eligibility. This prevents unauthorized API usage or service access without manual intervention. For complex accounts, the agent calls `get_customer` to cross-reference payment histories. If a payment is overdue, the agent triggers a handoff to a specialized dunning agent. The entire execution path remains fully visible inside your OpenAI developer dashboard for debugging.

Audit payments using secure agent handoffs

Your agent uses `list_payments` to pull recent transactions when users ask about billing discrepancies. Instead of giving one agent access to everything, you can split duties. A triage agent identifies the billing intent, then hands off the context to a specialized finance agent equipped with this specific MCP server. The finance agent runs `get_payment` to inspect the exact transaction ID and status. Because OpenAI Agents SDK handles state propagation natively, the transition between the general helper and the finance specialist happens in under 200 milliseconds.

Inspect payment forms and checkout plans

The `list_forms` tool allows your agent to fetch active payment templates when a customer wants to upgrade their current tier. Your OpenAI Agents SDK handles the logic of matching the user's request to the correct hosted checkout URL. To ensure the pricing matches, the agent calls `get_plan` to inspect the underlying intervals and amounts. This lookup guarantees your agent never recommends an outdated checkout link or a retired pricing structure.

Setup guide

Set up MoonClerk MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all MoonClerk tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives MoonClerk tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate MoonClerk tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="MoonClerk Agent",
            instructions="You have access to MoonClerk tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MoonClerk. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MoonClerk now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MoonClerk MCP in OpenAI Agents SDK

Install the SDK and pass the Vinkius HTTP endpoint to the MCPServerStreamableHttp constructor. Your agents will auto-discover endpoints like `list_subscriptions` at runtime without manual schema definitions.

No, this integration is read-only. Your agents can query records using `list_plans` or `get_plan` but cannot modify pricing tiers, keeping your financial configurations safe from agent errors.

The SDK intercepts API limit errors during calls like `list_payments`. You can configure the agent to back off and retry or immediately log the trace to your OpenAI dashboard.

Have your agent call `get_customer` with the unique customer ID. The tool returns the profile data, including metadata and linked payment forms, in a single round-trip.

Vinkius runs the server in an isolated V8 sandbox that processes your customer records and payment data in memory. No transaction details or customer emails are stored on our servers, and your API keys are encrypted at rest.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript