VTEX Catalog MCP Server for VS Code Copilot 7 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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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.
GitHub Copilot Agent mode brings VTEX Catalog data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the VTEX Catalog MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using VTEX Catalog
Ask Copilot: "Using VTEX Catalog, help me..." — 7 tools available
Why Use VS Code Copilot with the VTEX Catalog MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with VTEX Catalog through the Model Context Protocol.
VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
VTEX Catalog + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the VTEX Catalog MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
VTEX Catalog MCP Tools for VS Code Copilot (7)
These 7 tools become available when you connect VTEX Catalog to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting VTEX Catalog to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
VTEX Catalog + VS Code Copilot FAQ
Common questions about integrating VTEX Catalog MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.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.
Purpose-built IDE for agentic AI coding workflows.
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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 VS Code Copilot
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
