Mercado Livre Catalog MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mercado Livre Catalog as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Livre Catalog. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Mercado Livre Catalog?"
)
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 Livre Catalog MCP Server
Connect Mercado Livre Catalog to any AI agent and streamline your e-commerce operations — manage listings, adjust stock levels, update prices, and discover categories through natural conversation.
LlamaIndex agents combine Mercado Livre Catalog tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Create Listings — Publish new products with full details and attributes
- Stock Management — Update inventory levels instantly across all listings
- Price Updates — Change prices dynamically to stay competitive
- Search & Discovery — Find your active listings and browse categories
- Attribute Management — Get mandatory attributes for specific categories (e.g., voltage, size)
- Deactivation — Close listings that are no longer available
The Mercado Livre Catalog MCP Server exposes 9 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 Livre Catalog to LlamaIndex via MCP
Follow these steps to integrate the Mercado Livre Catalog 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 9 tools from Mercado Livre Catalog
Why Use LlamaIndex with the Mercado Livre Catalog MCP Server
LlamaIndex provides unique advantages when paired with Mercado Livre Catalog through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mercado Livre Catalog tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mercado Livre Catalog tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mercado Livre Catalog, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mercado Livre Catalog tools were called, what data was returned, and how it influenced the final answer
Mercado Livre Catalog + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mercado Livre Catalog MCP Server delivers measurable value.
Hybrid search: combine Mercado Livre Catalog real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mercado Livre Catalog 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 Livre Catalog for fresh data
Analytical workflows: chain Mercado Livre Catalog queries with LlamaIndex's data connectors to build multi-source analytical reports
Mercado Livre Catalog MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Mercado Livre Catalog to LlamaIndex via MCP:
create_item
Create a new listing
delete_item
Deactivate a listing (close it)
get_categories
List top-level categories of Mercado Livre Brasil
get_domain_attributes
Get required attributes for a category/domain
get_item
Get details of a specific listing
search_items
Note: Full search parameters are available via query string in documentation. Search for listings belonging to the authenticated user
update_item
Update a listing (title, description, attributes)
update_price
Update the price of an item
update_stock
Update available quantity for an item
Example Prompts for Mercado Livre Catalog in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mercado Livre Catalog immediately.
"Update the price of item MLB123456 to R$99.90."
"Create a new listing for a 'Wireless Mouse' in category 'Accessories'."
"What are the mandatory attributes for the Cellphones category?"
Troubleshooting Mercado Livre Catalog MCP Server with LlamaIndex
Common issues when connecting Mercado Livre Catalog to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMercado Livre Catalog + LlamaIndex FAQ
Common questions about integrating Mercado Livre Catalog 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 Livre Catalog 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 Livre Catalog to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.