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 Google ADK?
Google ADK natively supports Mercado Libre as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 17 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Mercado Libre
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Mercado Libre tools with BigQuery, Vertex AI, and Cloud Functions
Mercado Libre in Google ADK
Mercado Libre and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Mercado Libre to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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