Mercado Pago MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mercado Pago as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Mercado Pago. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Mercado Pago?"
)
print(response)
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 Mercado Pago MCP Server
Connect Mercado Pago to any AI agent and unlock Brazil's leading payment gateway — create Pix payments, manage credit card transactions, issue refunds, and handle customer data through natural conversation.
LlamaIndex agents combine Mercado Pago tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the 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
- Pix Payments — Generate instant Pix QR Codes for frictionless payments
- Credit Card Processing — Charge cards (Visa, Mastercard, Elo) securely
- Checkout Preferences — Generate payment links for web checkout
- Customer Management — Register customers and save cards for one-click payments
- Refunds — Issue partial or full refunds instantly
- Payment Search — Find and reconcile payments by email, status, or ID
- Payment Methods — List all supported methods in Brazil
The Mercado Pago MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex 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 Mercado Pago to LlamaIndex via MCP
Follow these steps to integrate the Mercado Pago MCP Server with LlamaIndex.
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 Mercado Pago
Why Use LlamaIndex with the Mercado Pago MCP Server
LlamaIndex provides unique advantages when paired with Mercado Pago through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mercado Pago tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mercado Pago tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mercado Pago, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mercado Pago tools were called, what data was returned, and how it influenced the final answer
Mercado Pago + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mercado Pago MCP Server delivers measurable value.
Hybrid search: combine Mercado Pago real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mercado Pago 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 Mercado Pago for fresh data
Analytical workflows: chain Mercado Pago queries with LlamaIndex's data connectors to build multi-source analytical reports
Mercado Pago MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Mercado Pago to LlamaIndex via MCP:
create_card
Save a card for a customer
create_customer
Register a new customer
create_payment
Requires a valid card token (generated via SDK frontend). Payment methods: visa, master, amex, etc. Create a new payment using card or other methods
create_pix_payment
Returns QR Code data for the user to scan and pay instantly. Create a Pix payment with QR Code
create_preference
Create a checkout preference for redirection
get_customer
Get customer details
get_identification_types
Get valid identification types (CPF, CNPJ, etc)
get_payment
Get details of a specific payment by ID
get_preference
Get details of a checkout preference
list_payment_methods
List all available payment methods for Brazil
refund_payment
If amount is omitted, performs a full refund. Refund a payment partially or fully
search_payments
Useful for reconciliation and reporting. Search for payments with filters
Example Prompts for Mercado Pago in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mercado Pago immediately.
"Create a Pix payment for R$150 for a customer."
"Refund payment 12345678 fully."
"Show me all approved payments for user@email.com."
Troubleshooting Mercado Pago MCP Server with LlamaIndex
Common issues when connecting Mercado Pago to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMercado Pago + LlamaIndex FAQ
Common questions about integrating Mercado Pago MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Mercado Pago 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 Mercado Pago to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.