How to Use the Baremetrics MCP in OpenAI Agents SDK

Q: How do I connect Baremetrics to my OpenAI Agents SDK project?

You'll use the MCPServerStreamableHttp class from the SDK. Just pass your Vinkius endpoint URL to it and include the server object in the mcpservers list when you create your agent. The SDK handles the rest.

Build production-ready financial agents with the OpenAI Agents SDK and your live Baremetrics data.

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Connect Baremetrics MCP to OpenAI Agents SDK

Create your Vinkius account to connect Baremetrics 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 Baremetrics with OpenAI Agents SDK

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Audit Financials with Guardrails

This toolset lets your agent pull core financial metrics from Baremetrics. You can get your current MRR with `get_mrr`, check customer LTV with `get_ltv`, and see your churn rate using `get_churn_rate`. Because you're using the OpenAI Agents SDK, you can define validation rules before any of these tools run. This prevents your agent from pulling customer data when it should only be looking at aggregate metrics. It's about shipping agents you can actually trust.

Manage Customers and Subscriptions

Your agent can look up specific user details or get a full roster. Use `list_customers` to get a complete list, or `get_customer` to find a single person by their ID. You can also inspect their payment history with `list_subscriptions`. The OpenAI SDK gives you a full trace for every action. When an agent uses this MCP Server to look up a customer, you see the exact tool call and its result in your OpenAI dashboard. This gives you a clear audit trail for any agent that touches customer information.

Configure the Baremetrics MCP Server

This server exposes your Baremetrics data sources, plans, and metrics. Your agent can call `list_sources` to see where the numbers are coming from or `list_plans` to understand your pricing structure. It's a simple way for an agent to get its bearings. Setup is just a few lines of Python. You pass the Vinkius endpoint URL to `MCPServerStreamableHttp` and add it to your agent's `mcp_servers` list. The tools are discovered automatically, so there's no manual mapping.

Setup guide

Set up Baremetrics 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 Baremetrics tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Baremetrics 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="Baremetrics Agent",
            instructions="You have access to Baremetrics 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 Baremetrics MCP in OpenAI Agents SDK

You'll use the `MCPServerStreamableHttp` class from the SDK. Just pass your Vinkius endpoint URL to it and include the server object in the `mcp_servers` list when you create your agent. The SDK handles the rest.

Yes. While the SDK auto-discovers all tools, you build guardrails and prompt instructions to restrict which actions an agent can take. This lets you create specialized agents that only access certain Baremetrics data, like MRR but not customer lists.

It's the production-readiness. The combination of Vinkius managing the server and the OpenAI SDK providing guardrails and tracing means you can build financial agents you're confident deploying. You get reliable access to Baremetrics data with strong operational controls.

The overhead is minimal. Vinkius runs the MCP Server in a sandboxed V8 isolate for low latency. For the OpenAI SDK, set `cacheToolsList=True` in your code to avoid re-fetching the tool list on every run, which speeds things up.

This server only touches your Baremetrics financial and customer data. With the OpenAI Agents SDK, all tool execution is traced through your OpenAI dashboard. This gives you a complete audit log of what data your agent accessed and when.

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