Lago MCP Server for AutoGenGive AutoGen instant access to 12 tools to Apply Coupon, Batch Events, Create Billable Metric, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Lago as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Lago MCP Server for AutoGen is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="lago_agent",
tools=tools,
system_message=(
"You help users with Lago. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Lago tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Customer Management — Create and update customer profiles with
upsert_customerand retrieve details withget_customer. - Subscription Lifecycle — Assign plans to customers using
create_subscriptionand monitor them withget_subscription. - Billing Infrastructure — Define billing plans with
create_planand set upcreate_billable_metricto track consumption. - Usage Tracking — Send real-time usage data with
send_eventorbatch_eventsto 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 AutoGen 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 AutoGen
When AutoGen 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 coupon on Lago
Apply a coupon to a customer
Batch events on Lago
Send a batch of usage events
Create billable metric on Lago
Create a billable metric
Create coupon on Lago
Create a coupon
Create plan on Lago
Create a new billing plan
Create subscription on Lago
Assign a plan to a customer (create subscription)
Create wallet on Lago
Create a wallet for prepaid credits
Get customer on Lago
Retrieve a customer by external ID
Get subscription on Lago
Retrieve a subscription by external ID
List invoices on Lago
List all invoices
Send event on Lago
Send a usage event
Upsert customer on Lago
Requires an external_id. Create or update a customer in Lago
Connect Lago to AutoGen via MCP
Follow these steps to wire Lago into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Lago MCP Server
AutoGen provides unique advantages when paired with Lago through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Lago tools to solve complex tasks
Role-based architecture lets you assign Lago tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Lago tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Lago tool responses in an isolated environment
Lago + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Lago MCP Server delivers measurable value.
Collaborative analysis: one agent queries Lago while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Lago, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Lago data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Lago responses in a sandboxed execution environment
Example Prompts for Lago in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Lago to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Lago + AutoGen FAQ
Common questions about integrating Lago MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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