MoonClerk 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 MoonClerk 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="MoonClerk Assistant",
instructions=(
"You help users interact with MoonClerk. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MoonClerk"
)
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 MoonClerk MCP Server
Connect your MoonClerk account to your AI agent and take control of your recurring revenue and customer billing through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from MoonClerk through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MoonClerk, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Payment Tracking — List all transactions and get real-time status updates, amounts, and currency info.
- Customer & Plan Management — Access customer profiles, recurring payment plans, and active subscriptions.
- Form Oversight — List and inspect your payment forms to stay organized.
- Deep Data Inspection — Fetch complete metadata for specific customers, payments, or plans using their unique IDs.
The MoonClerk 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 MoonClerk to OpenAI Agents SDK via MCP
Follow these steps to integrate the MoonClerk 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 MoonClerk
Why Use OpenAI Agents SDK with the MoonClerk MCP Server
OpenAI Agents SDK provides unique advantages when paired with MoonClerk 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
MoonClerk + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MoonClerk MCP Server delivers measurable value.
Automated workflows: build agents that query MoonClerk, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MoonClerk, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MoonClerk tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MoonClerk to resolve tickets, look up records, and update statuses without human intervention
MoonClerk MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect MoonClerk to OpenAI Agents SDK via MCP:
get_customer
Get specific customer details
get_form
Get specific form details
get_payment
Get details for a specific payment
get_plan
Get specific plan details
get_subscription
Get specific subscription info
list_customers
List MoonClerk customers
list_forms
List payment forms
list_payments
List all payments
list_plans
List available payment plans
list_subscriptions
List active subscriptions
Example Prompts for MoonClerk in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MoonClerk immediately.
"List my last 5 payments received on MoonClerk."
"What recurring payment plans do I have configured?"
"Show me the details for the payment form with ID form_123."
Troubleshooting MoonClerk MCP Server with OpenAI Agents SDK
Common issues when connecting MoonClerk to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MoonClerk + OpenAI Agents SDK FAQ
Common questions about integrating MoonClerk 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 MoonClerk 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 MoonClerk to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.