eBay Shopper MCP Server for VS Code Copilot 10 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": {
"ebay-shopper": {
"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 eBay Shopper MCP Server
Connect eBay Shopper to any AI agent via MCP.
How to Connect eBay Shopper to VS Code Copilot via MCP
Follow these steps to integrate the eBay Shopper 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 eBay Shopper
Ask Copilot: "Using eBay Shopper, help me...". 10 tools available
Why Use VS Code Copilot with the eBay Shopper MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with eBay Shopper 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
eBay Shopper + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the eBay Shopper 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
eBay Shopper MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect eBay Shopper to VS Code Copilot via MCP:
get_categories
Optional parentId filters to subcategories. Use this to discover available categories or navigate the eBay catalog structure. List eBay product categories and subcategories
get_item_compatibility
Essential for auto parts buyers to verify fitment before purchase. Get vehicle compatibility information for an auto parts listing
get_item_details
The itemId is obtained from search results. Use this to get complete product specs before purchasing or comparing. Get full details for a specific eBay item by its ID
get_item_rating
Use this for a quick quality assessment without reading individual reviews. Get aggregated rating summary for an eBay item
get_item_reviews
Returns rating (1-5), review text, reviewer name, and date. Use this to assess product quality and customer satisfaction before buying. Get customer reviews and ratings for a specific eBay item
get_merchant_item_details
Similar to get_item_details but with merchant-focused data. Use this for inventory research. Get item details from the merchant perspective
get_shipping_estimate
Use this to calculate total cost before buying. Get estimated shipping cost and delivery date for an item
search_by_category
g., Electronics, Fashion, Motors). Requires categoryId from get_categories endpoint. Useful for browsing specific sections of eBay. Search for items within a specific eBay category
search_by_image
Useful when you know what something looks like but not its name or model. Returns visually similar items with prices and details. Search eBay for visually similar items using an image URL
search_items
Returns a list of matching items with title, price, condition, image URL, and item ID. Use optional parameters: limit (max 10), offset (pagination), sort (BestMatch, price, etc.). Ideal for finding products, comparing prices, or discovering available inventory. Search for items on eBay by keyword, brand, or product name
Troubleshooting eBay Shopper MCP Server with VS Code Copilot
Common issues when connecting eBay Shopper to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
eBay Shopper + VS Code Copilot FAQ
Common questions about integrating eBay Shopper 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 eBay Shopper with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 eBay Shopper to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.