4,000+ servers built on vurb.ts
Vinkius

Mercado Libre MCP Server for LlamaIndexGive LlamaIndex instant access to 17 tools to Answer Question, Create Item, Create Test User, and more

MCP Inspector GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mercado Libre 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

The Mercado Libre MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 17 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ 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 Mercado Libre. "
            "You have 17 tools available."
        ),
    )

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

asyncio.run(main())
Mercado Libre
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 Mercado Libre MCP Server

Connect your Mercado Libre seller account to any AI agent to streamline your e-commerce operations through natural conversation.

LlamaIndex agents combine Mercado Libre tool responses with indexed documents for comprehensive, grounded answers. Connect 17 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

  • Product Listing — Predict the correct category for your items and create new listings with full attribute support
  • Order Management — Search and retrieve detailed metadata for orders, including status, payment, and buyer info
  • Logistics & Shipping — Track shipment status and monitor SLA dispatch times to protect your seller reputation
  • Customer Service — Search for buyer questions, provide answers, and manage post-sale messaging flows
  • Claims & Returns — Inspect active claims and return details to resolve customer issues efficiently
  • Price & Promos — Check sale prices and identify items eligible for promotions

The Mercado Libre MCP Server exposes 17 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 17 Mercado Libre tools available for LlamaIndex

When LlamaIndex connects to Mercado Libre through Vinkius, your AI agent gets direct access to every tool listed below — spanning marketplace, selling, customer-support, 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.

answer

Answer question on Mercado Libre

Answer a buyer question

create

Create item on Mercado Libre

Requires title, category_id, price, currency_id, available_quantity, buying_mode, condition, listing_type_id, and pictures. Publish a new item on Mercado Libre

create

Create test user on Mercado Libre

Create a test user

get

Get claim on Mercado Libre

Get details of a post-purchase claim

get

Get me on Mercado Libre

Get current Mercado Libre user info

get

Get order on Mercado Libre

Get details for a specific order

get

Get post sale messages on Mercado Libre

Get post-sale messages

get

Get promotion candidate on Mercado Libre

Check promotion eligibility

get

Get return details on Mercado Libre

Get details of a product return

get

Get sale price on Mercado Libre

Get the current sale price of an item

get

Get shipment on Mercado Libre

Get shipment information

get

Get shipment sla on Mercado Libre

Get shipment SLA (Service Level Agreement)

get

Get user addresses on Mercado Libre

Get addresses for a specific user

predict

Predict category on Mercado Libre

Predict category for a product title

search

Search orders on Mercado Libre

Search orders for a seller

search

Search questions on Mercado Libre

Search questions for a seller

send

Send post sale message on Mercado Libre

Send a post-sale message

Connect Mercado Libre to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 17 tools from Mercado Libre

Why Use LlamaIndex with the Mercado Libre MCP Server

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

01

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

02

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

03

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

04

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

Mercado Libre + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Mercado Libre in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Mercado Libre immediately.

01

"Search for all 'paid' orders for seller ID 123456789."

02

"What is the shipping status and SLA for shipment 405928374?"

03

"Predict the best category for a 'Wireless Mechanical Keyboard' on site MLB."

Troubleshooting Mercado Libre MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mercado Libre + LlamaIndex FAQ

Common questions about integrating Mercado Libre MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Mercado Libre tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →