How to Use the Fera.ai MCP in VS Code Copilot

Q: How do we share the Fera.ai MCP Server config in VS Code Copilot?

Save the MCP config settings in your project's .vscode/mcp.json file and commit it to your Git repository. Every developer on your team will instantly have access to the Fera.ai tools in their chat.

Q: Can VS Code Copilot fetch customer photos from Fera.ai?

Yes, your team can run listmedia in the chat to retrieve URLs of customer-submitted images. Copilot uses these links to help you test image loading and layout scaling in your local environment.

Q: How do we check if our Fera.ai connection is active in VS Code Copilot?

Run the getme tool directly in your Copilot Chat window to confirm your token identity. This returns your current authorization status and confirms that the editor can reach the Fera.ai API.

Q: Is customer data exposed during local queries in the editor?

Customer profiles queried through listcustomers are protected by transport-level encryption and local execution. Your team's VS Code Copilot instance queries the Fera.ai API directly, ensuring that sensitive shopper names and contact info never touch external logs.

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Connect Fera.ai MCP to VS Code Copilot

Create your Vinkius account to connect Fera.ai to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fera.ai with VS Code Copilot

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Pull production reviews into VS Code Copilot

The `list_reviews` tool gives your engineering team immediate access to live Fera.ai customer feedback directly inside VS Code Copilot. When debugging review ingestion pipelines, developers can query production Fera.ai payloads without leaving the VS Code Copilot chat. Using `get_review` allows VS Code Copilot to inspect specific problematic entries that might be causing rendering errors. VS Code Copilot analyzes the live Fera.ai payload structure to suggest code fixes right in your active file.

Fetch live ratings via this MCP Server

Querying `get_product_rating` retrieves aggregate Fera.ai scores and counts directly inside your VS Code Copilot environment. Your team can run this MCP tool to check that the Fera.ai rating calculation matches the mock data used in your test suites. Combining this with `list_products` helps you write integration tests in VS Code Copilot that validate how your storefront handles missing or incomplete product ratings. VS Code Copilot writes these assertions based on real Fera.ai API responses rather than assumptions.

Inspect active store integrations in VS Code Copilot

With `list_external_integrations`, your team can list active e-commerce platforms synced with Fera.ai directly within VS Code Copilot. This helps your team quickly diagnose if a missing platform connection is causing sync issues with your Fera.ai reviews. You can also run `get_account_info` to check Fera.ai subscription limitations that might affect API rate limits during VS Code Copilot deployments. VS Code Copilot uses this Fera.ai context to help you write smarter error-handling code for your storefront.

Setup guide

Set up Fera.ai MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Fera.ai MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Fera.ai tools listed. Try asking: "List my recent Fera.ai transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "feraai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fera.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fera.ai MCP in VS Code Copilot

Save the MCP config settings in your project's `.vscode/mcp.json` file and commit it to your Git repository. Every developer on your team will instantly have access to the Fera.ai tools in their chat.

Yes, your team can run `list_media` in the chat to retrieve URLs of customer-submitted images. Copilot uses these links to help you test image loading and layout scaling in your local environment.

Run the `get_me` tool directly in your Copilot Chat window to confirm your token identity. This returns your current authorization status and confirms that the editor can reach the Fera.ai API.

The editor relies on the underlying MCP Server to handle rate limits, but you can query `get_account_info` to see your Fera.ai plan limits. This helps your team design client-side caching strategies to avoid hitting API caps.

Customer profiles queried through `list_customers` are protected by transport-level encryption and local execution. Your team's VS Code Copilot instance queries the Fera.ai API directly, ensuring that sensitive shopper names and contact info never touch external logs.

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