Lago MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Apply Coupon, Batch Events, Create Billable Metric, and more

Name: Lago
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lago through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Lago MCP Server for OpenAI Agents SDK is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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VS Code

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+ other MCP clients

python

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="Lago Assistant",
            instructions=(
                "You help users interact with Lago. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Lago"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Lago MCP Server

Connect Lago to your AI agent to automate your metering and billing infrastructure. Lago is the open-source alternative to Stripe Billing, designed for complex usage-based pricing models.

The OpenAI Agents SDK auto-discovers all 12 tools from Lago through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lago, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Customer Management — Create and update customer profiles with upsert_customer and retrieve details with get_customer.
Subscription Lifecycle — Assign plans to customers using create_subscription and monitor them with get_subscription.
Billing Infrastructure — Define billing plans with create_plan and set up create_billable_metric to track consumption.
Usage Tracking — Send real-time usage data with send_event or batch_events to trigger accurate billing.
Financial Operations — Manage wallets, apply coupons, and list invoices to keep your revenue operations running smoothly.

The Lago MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Lago tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Lago through Vinkius, your AI agent gets direct access to every tool listed below — spanning usage-based-billing, metering, saas-metrics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

apply

Apply coupon on Lago

Apply a coupon to a customer

batch

Batch events on Lago

Send a batch of usage events

create

Create billable metric on Lago

Create a billable metric

create

Create coupon on Lago

Create a coupon

create

Create plan on Lago

Create a new billing plan

create

Create subscription on Lago

Assign a plan to a customer (create subscription)

create

Create wallet on Lago

Create a wallet for prepaid credits

get

Get customer on Lago

Retrieve a customer by external ID

get

Get subscription on Lago

Retrieve a subscription by external ID

list

List invoices on Lago

List all invoices

send

Send event on Lago

Send a usage event

upsert

Upsert customer on Lago

Requires an external_id. Create or update a customer in Lago

Connect Lago to OpenAI Agents SDK via MCP

Follow these steps to wire Lago into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Lago

Why Use OpenAI Agents SDK with the Lago MCP Server

OpenAI Agents SDK provides unique advantages when paired with Lago 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

Lago + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Lago MCP Server delivers measurable value.

Automated workflows: build agents that query Lago, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Lago, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Lago tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Lago to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Lago in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lago immediately.

"Create a new customer in Lago with external ID 'user_123' and email 'dev@example.com'."

"Show me the subscription details for ID 'sub_98765'."

"List all invoices for my Lago account."

Troubleshooting Lago MCP Server with OpenAI Agents SDK

Common issues when connecting Lago to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Lago + OpenAI Agents SDK FAQ

Common questions about integrating Lago MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use 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?

Yes. Pass a list of 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?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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