Lago MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lago as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Lago MCP Server for LlamaIndex 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Lago. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Lago?"
    )
    print(response)

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.

LlamaIndex agents combine Lago tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Lago

Why Use LlamaIndex with the Lago MCP Server

LlamaIndex provides unique advantages when paired with Lago through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Lago tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Lago tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Lago, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Lago tools were called, what data was returned, and how it influenced the final answer

Lago + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Lago MCP Server delivers measurable value.

Hybrid search: combine Lago real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Lago to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Lago for fresh data

Analytical workflows: chain Lago queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Lago in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Lago to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Lago + LlamaIndex FAQ

Common questions about integrating Lago MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.