How to Use the ChartMogul MCP in OpenAI Agents SDK

Q: Why does the OpenAI Agents SDK fail to discover my ChartMogul tools?

Make sure you set cacheToolsList=True in your server parameters and that your HTTP context manager is open. If the connection is broken, the SDK cannot fetch the MCP tool definitions from the Vinkius endpoint.

Q: How do I track MRR changes over time with this setup?

Your agent runs getmrrhistory to pull monthly recurring revenue data. It can then parse this raw JSON and pass it to other agents in your pipeline to generate growth reports.

Get live SaaS metrics directly into your OpenAI Agents SDK pipelines without writing custom API wrappers.

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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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Safe SaaS metrics fetching with OpenAI Agents SDK

This MCP Server connects your production agents directly to your billing data. By registering the server, your agents can pull live ARR history using `get_arr_history` and run retention checks with `get_churn_rates` without exposing raw API keys to the model itself. The OpenAI Agents SDK lets you set strict guardrails before execution. This means your script verifies that the agent is only reading metrics via `get_summary_metrics` instead of accidentally trying to modify billing plans or write records.

Automated customer profile lookups and handoffs

When a customer files a ticket, your triage agent can call `get_customer_details` and `get_customer_ltv` to determine account value. From there, the SDK handles the handoff to a specialized high-value support agent. You don't have to write custom routing logic. The SDK manages agent-to-agent communication while this MCP toolset supplies the revenue facts like `list_subscription_plans` to feed the conversation context.

Secure customer creation with strict tracing

When a new user signs up, your agent writes them to your billing dashboard using `create_customer_record`. Every single write action is tracked in the OpenAI dashboard, giving you a clear audit trail of what your agent did. You can watch the exact execution path as the agent verifies the connection with `get_api_status` and lists the active sources using `list_data_sources`. It makes debugging production billing agents painless.

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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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChartMogul. 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.

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Common questions about ChartMogul MCP in OpenAI Agents SDK

Vinkius manages the authentication layer so you don't have to hardcode keys. You simply pass the single Vinkius endpoint URL into your `MCPServerStreamableHttp` configuration, and your agents can instantly access tools like `list_customers`.

Yes, you can enforce this at the SDK level using its built-in guardrails. This prevents the agent from calling write tools like `create_customer_record` while still allowing read-only tools like `get_mrr_history`.

Make sure you set `cacheToolsList=True` in your server parameters and that your HTTP context manager is open. If the connection is broken, the SDK cannot fetch the MCP tool definitions from the Vinkius endpoint.

Your agent runs `get_mrr_history` to pull monthly recurring revenue data. It can then parse this raw JSON and pass it to other agents in your pipeline to generate growth reports.

Vinkius runs the MCP server inside an isolated, ephemeral V8 sandbox, meaning no customer details are ever stored on our servers. Your raw MRR and ARR data goes directly from the billing platform to your local Python execution environment via secure, encrypted HTTPS tunnels.

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