4,000+ servers built on vurb.ts
Vinkius
LangChainFramework
Lago MCP Server

Bring Usage Based Billing
to LangChain

Learn how to connect Lago to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Apply CouponBatch EventsCreate Billable MetricCreate CouponCreate PlanCreate SubscriptionCreate WalletGet CustomerGet SubscriptionList InvoicesSend EventUpsert Customer

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Lago

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your Lago API Key
  3. Start managing your billing logic from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • SaaS Founders — quickly check customer subscription status or update plans without leaving the chat.
  • Growth Engineers — automate the creation of coupons and wallets for promotional campaigns.
  • Finance Teams — list invoices and verify billable metrics through natural language queries.

Built-in capabilities (12)

apply_coupon

Apply a coupon to a customer

batch_events

Send a batch of usage events

create_billable_metric

Create a billable metric

create_coupon

Create a coupon

create_plan

Create a new billing plan

create_subscription

Assign a plan to a customer (create subscription)

create_wallet

Create a wallet for prepaid credits

get_customer

Retrieve a customer by external ID

get_subscription

Retrieve a subscription by external ID

list_invoices

List all invoices

send_event

Send a usage event

upsert_customer

Requires an external_id. Create or update a customer in Lago

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Lago through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • The largest ecosystem of integrations, chains, and agents. combine Lago MCP tools with 500+ LangChain components

  • Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • Memory and conversation persistence let agents maintain context across Lago queries for multi-turn workflows

See it in action

Lago in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Lago and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Lago to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Lago in LangChain

The Lago 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Lago
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

The Vinkius Advantage

How Vinkius secures Lago for LangChain

Every tool call from LangChain to the Lago MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I track a new usage event for a customer?

Use the send_event tool. You'll need to provide the customer's external ID and the metric code to record the consumption in real-time.

02

Can I create a new billing plan with specific charges?

Yes, use the create_plan tool. You can define the name, interval, and base amount, as well as pass a JSON object for specific charges.

03

Is it possible to apply a discount to a customer?

Absolutely. First, create a coupon using create_coupon, then use the apply_coupon tool to link it to a specific customer's external ID.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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