VTEX Catalog MCP Server for Cursor 7 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"vtex-catalog": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 VTEX Catalog MCP Server
Connect your VTEX Catalog API to any AI agent and manage your entire product catalog through natural conversation.
Cursor's Agent mode turns VTEX Catalog into an in-editor superpower. Ask Cursor to generate code using live data from VTEX Catalog and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Product Search — Run full-text searches across your product catalog by name, brand ID, or category ID. Returns complete product listings with pricing, availability, and images.
- Product Details — Retrieve the full specification sheet of any product by ID, including all associated SKUs, categories, dimensions, and metadata.
- Product Management — Create or update products directly from your agent. Send structured product data and have it reflected in your VTEX catalog immediately.
- SKU Inspection — Look up specific SKUs with detailed attributes like price, weight, dimensions, EAN, and stock status.
- Stock Management — Update the available quantity of any SKU across your logistics warehouses. Adjust inventory in real-time without opening the VTEX Admin.
- Category & Brand Lookup — Explore your category tree and brand directory to understand how your catalog is organized and ensure correct product classification.
The VTEX Catalog MCP Server exposes 7 tools through the Vinkius. Connect it to Cursor 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 VTEX Catalog to Cursor via MCP
Follow these steps to integrate the VTEX Catalog MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using VTEX Catalog
Open Agent mode in chat and ask: "Using VTEX Catalog, help me...". 7 tools available
Why Use Cursor with the VTEX Catalog MCP Server
Cursor AI Code Editor provides unique advantages when paired with VTEX Catalog through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
VTEX Catalog + Cursor Use Cases
Practical scenarios where Cursor combined with the VTEX Catalog MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
VTEX Catalog MCP Tools for Cursor (7)
These 7 tools become available when you connect VTEX Catalog to Cursor via MCP:
get_brand
Get details of a brand
get_category
Get details of a category
get_product
Get full details of a specific product
get_sku
Get details of a specific SKU
manage_stock
Update the available quantity of a SKU
save_product
Create or update a product
search_products
Examples: "Coca Cola", "b/1234" (brand ID), "c/5678" (category ID). Search for products by text, brand, or category
Example Prompts for VTEX Catalog in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with VTEX Catalog immediately.
"Search for 'Nike Air Max' in my VTEX catalog"
"Update the stock of SKU 12345 to 150 units"
"Show me the details of category 5678"
Troubleshooting VTEX Catalog MCP Server with Cursor
Common issues when connecting VTEX Catalog to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
VTEX Catalog + Cursor FAQ
Common questions about integrating VTEX Catalog MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect VTEX Catalog with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 VTEX Catalog to Cursor
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
