Compatible with every major AI agent and IDE
What is the Mercado Libre MCP Server?
Connect your Mercado Libre seller account to any AI agent to streamline your e-commerce operations through natural conversation.
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
How it works
- Subscribe to this server
- Enter your Mercado Libre Access Token
- Start managing your store from Claude, Cursor, or any MCP-compatible client
Who is this for?
- E-commerce Managers — monitor store performance and order statuses without manual dashboard navigation
- Support Teams — respond to buyer questions and handle post-sale claims directly through the AI interface
- Logistics Coordinators — keep track of shipment deadlines and SLA compliance in real-time
Built-in capabilities (17)
Answer a buyer question
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 a test user
Get details of a post-purchase claim
Get current Mercado Libre user info
Get details for a specific order
Get post-sale messages
Check promotion eligibility
Get details of a product return
Get the current sale price of an item
Get shipment information
Get shipment SLA (Service Level Agreement)
Get addresses for a specific user
Predict category for a product title
Search orders for a seller
Search questions for a seller
Send a post-sale message
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Mercado Libre tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Mercado Libre tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Mercado Libre, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Mercado Libre tools were called, what data was returned, and how it influenced the final answer
Mercado Libre in LlamaIndex
Mercado Libre and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Mercado Libre to LlamaIndex 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Mercado Libre in LlamaIndex
The Mercado Libre 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 17 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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.

* 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
How Vinkius secures
Mercado Libre for LlamaIndex
Every tool call from LlamaIndex to the Mercado Libre MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check if a shipment is at risk of affecting my reputation?
You can use the get_shipment_sla tool with the Shipment ID. It will return the maximum dispatch time allowed to avoid penalties on your seller metrics.
Can the AI help me find the right category for a new product?
Yes! Use the predict_category tool by providing the product title and your site ID (e.g., MLA, MLB). The agent will suggest the most accurate category ID for your listing.
How do I see pending questions from buyers?
Ask the agent to run search_questions using your Seller User ID. It will list the recent questions asked by buyers on your items so you can answer them using answer_question.
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.
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.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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