How to Use the ChartMogul MCP in OpenAI Agents SDK

Q: Does this setup support live MRR tracking?

Yes, the agent calls getmrrmetrics on demand to fetch real-time numbers. It bypasses stale caches, giving your agent the exact figures from your billing dashboard.

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Connect ChartMogul MCP to OpenAI Agents SDK

Create your Vinkius account to connect ChartMogul 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.

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Setup ChartMogul with OpenAI Agents SDK

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Validate SaaS metrics in OpenAI Agents SDK

The `get_subscription_metrics` tool pulls your live SaaS revenue data straight into your OpenAI Agents SDK workflow. Your agent reads MRR and ARR directly, using OpenAI's native validation guardrails to block incorrect numbers before they hit your executive reports. You configure `get_subscription_metrics` once, and your OpenAI Agents SDK system auto-discovers how to query these billing changes. This setup prevents your production OpenAI agent from hallucinating ChartMogul metrics during multi-agent handoffs.

Run customer health checks with this MCP Server

The `get_mogul_customer_details` tool fetches raw account history so your OpenAI Agents SDK system can flag churn risks. The OpenAI agent triggers this specific tool during customer chat routing to decide if a high-value account needs human intervention. By coupling this tool with `list_mogul_customers`, your OpenAI Agents SDK scans the entire customer list without manual scripts. This integration lets you build safety-first retention loops that run autonomously on your servers.

Verify API status before executing financial runs

The `ping_mogul_api` tool checks your connection to the billing platform so your OpenAI Agents SDK doesn't fail mid-run. This MCP integration acts as a gatekeeper, ensuring the endpoint is active before the agent attempts heavy data collection. When your multi-agent OpenAI system runs a scheduled financial audit, it calls this tool first. If the API is down, the OpenAI Agents SDK handles the exception gracefully, saving compute costs and preventing broken runs.

Setup guide

Set up ChartMogul 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 ChartMogul tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ChartMogul 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="ChartMogul Agent",
            instructions="You have access to ChartMogul tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ChartMogul MCP in OpenAI Agents SDK

You set your API keys in the Vinkius dashboard. The OpenAI Agents SDK connects to the managed MCP Server URL using MCPServerStreamableHttp, meaning your code never touches the raw credentials.

Yes, you configure tool permissions directly in the Vinkius dashboard before connecting the OpenAI Agents SDK. This prevents your OpenAI agent from calling raw data sources while allowing it to read high-level metrics.

The OpenAI Agents SDK relies on Vinkius to queue and throttle calls to the ChartMogul API. If the agent spams get_mrr_metrics, the platform handles the retries so your Python process doesn't crash.

Yes, the agent calls get_mrr_metrics on demand to fetch real-time numbers. It bypasses stale caches, giving your agent the exact figures from your billing dashboard.

All SaaS billing metrics and customer PII are isolated within ephemeral V8 sandboxes. The connection uses single-token authentication, and Vinkius never stores your raw financial records.

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