How do I obtain my Fera.ai Private API Key?

Log in to your Fera.ai dashboard, navigate to **Configuration > API Keys**, and look for your 'Secret Key'. Do not share this key with anyone.

Can I see photos submitted by customers?

Yes! Use the `list_media` tool to retrieve all user-generated photos and videos submitted alongside reviews for your store.

Does this work with my Shopify store?

Absolutely. Fera.ai integrates deeply with Shopify. As long as you provide the API key for your Fera account, you can manage reviews for your Shopify-connected stores.

Fera.ai MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes

Name: Fera.ai
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 12 Tools IDE

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Fera.ai and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Fera.ai MCP Server

Connect your Fera.ai account to any AI agent and take full control of your customer reviews, ratings, and user-generated content (UGC) through natural conversation.

GitHub Copilot Agent mode brings Fera.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Review Orchestration — List all customer reviews and fetch detailed sentiment metadata for specific feedback natively
Rating Intelligence — Query aggregated product ratings and review counts to analyze catalog performance flawlessly
UGC Monitoring — List and inspect customer-submitted photos and videos to manage your visual social proof natively
Customer Insights — Access detailed profiles of customers who have submitted feedback to personalize engagement synchronously
Multi-Store Management — List and query data across all stores managed under your partner or business account flawlessly
Integration Audit — Monitor active external integrations with platforms like Shopify, Wix, and BigCommerce directly from the cloud
Identity Context — Verify your API secret key identity and account subscription details through the agent flawlessly

The Fera.ai MCP Server exposes 12 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 Fera.ai to VS Code Copilot via MCP

Follow these steps to integrate the Fera.ai 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 Fera.ai

Ask Copilot: "Using Fera.ai, help me...". 12 tools available

Why Use VS Code Copilot with the Fera.ai MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Fera.ai 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

Fera.ai + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Fera.ai 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

Fera.ai MCP Tools for VS Code Copilot (12)

These 12 tools become available when you connect Fera.ai to VS Code Copilot via MCP:

get_account_info

Get Fera account and subscription details

get_customer

Get details for a specific customer profile

get_me

Get current API token identity info

get_product_rating

Get aggregated rating and review count for a product

get_review

Get details for a specific review

list_customers

List customers who have submitted feedback

list_external_integrations

List active external integrations (Shopify, etc.)

list_media

List customer-submitted photos and videos (UGC)

list_products

List products being tracked by Fera

list_reviews

List all customer reviews for your store

list_site_content

List social proof content and widgets

list_stores

List stores managed under your account

Example Prompts for Fera.ai in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Fera.ai immediately.

"List the latest 5 reviews for my store."

"Show me the average rating for product SKU-123."

"Check my active integrations on Fera."

Troubleshooting Fera.ai MCP Server with VS Code Copilot

Common issues when connecting Fera.ai to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Fera.ai + VS Code Copilot FAQ

Common questions about integrating Fera.ai MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .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.