Baremetrics MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Baremetrics 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="Baremetrics Assistant",
instructions=(
"You help users interact with Baremetrics. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Baremetrics"
)
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 Baremetrics MCP Server
Unlock the pulse of your subscription business with Baremetrics, the leading financial analytics platform for SaaS. By connecting Baremetrics to your AI agent, you transform complex revenue data into a natural conversation. Your agent can instantly retrieve high-level metrics like MRR (Monthly Recurring Revenue), LTV (Lifetime Value), and churn rates, or dive deep into specific customer subscription histories without you ever navigating through dense financial dashboards. Whether you're preparing a board report or auditing customer health, your agent acts as a real-time CFO, ensuring your growth data is always accessible and actionable.
The OpenAI Agents SDK auto-discovers all 12 tools from Baremetrics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Baremetrics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Financial Auditing — Retrieve instant summaries of core SaaS metrics including MRR, ARR, LTV, and active customer counts via natural language.
- Customer Oversight — List and search for specific customers, auditing their internal IDs, profile details, and subscription status.
- Subscription Tracking — Access detailed logs of user subscriptions to identify upgrade patterns or potential churn risks.
- Source Management — List all available data sources and defined plans to map your entire billing ecosystem.
- Custom Timeframes — Query financial metrics for specific date ranges to analyze growth trends and seasonal performance.
The Baremetrics MCP Server exposes 12 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 Baremetrics to OpenAI Agents SDK via MCP
Follow these steps to integrate the Baremetrics 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 12 tools from Baremetrics
Why Use OpenAI Agents SDK with the Baremetrics MCP Server
OpenAI Agents SDK provides unique advantages when paired with Baremetrics 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
Baremetrics + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Baremetrics MCP Server delivers measurable value.
Automated workflows: build agents that query Baremetrics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Baremetrics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Baremetrics tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Baremetrics to resolve tickets, look up records, and update statuses without human intervention
Baremetrics MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Baremetrics to OpenAI Agents SDK via MCP:
get_account_check
Verify Baremetrics connection
get_active_customers
Convenience tool to get active customer count
get_churn_rate
Convenience tool to get user churn rate
get_customer
Get details for a specific customer
get_ltv
Convenience tool to get Customer Lifetime Value (LTV)
get_metric
Get specific data for a single metric type
get_mrr
Convenience tool to get Monthly Recurring Revenue (MRR)
list_customers
List all customers in Baremetrics
list_metrics
List high-level financial metrics summary
list_plans
List all defined plans
list_sources
List all available data sources
list_subscriptions
List all user subscriptions
Example Prompts for Baremetrics in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Baremetrics immediately.
"What is my current Monthly Recurring Revenue (MRR)?"
"Show me the top 5 customers by LTV."
"Search for a customer named 'John Smith' and show their active subscriptions."
Troubleshooting Baremetrics MCP Server with OpenAI Agents SDK
Common issues when connecting Baremetrics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Baremetrics + OpenAI Agents SDK FAQ
Common questions about integrating Baremetrics 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 Baremetrics 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 Baremetrics to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.