How to Use the Fera.ai MCP in Claude

Q: How do I query Fera.ai reviews inside Claude Desktop?

Start by opening your chat and asking your agent to run listreviews. The desktop app uses the configured MCP Server to call the Fera.ai API, bringing real-time customer feedback directly into your active conversation thread.

Q: Can Claude Desktop update my Fera.ai widgets directly?

No, this integration reads your setup via listsitecontent rather than modifying live store layouts. Your desktop agent analyzes the active widget configuration to suggest optimizations, but actual design changes happen in your store admin.

Q: Is my Fera.ai customer data safe when using Claude Desktop?

All customer profiles accessed through listcustomers remain secure because the data is processed locally on your machine via stdio. Your private customer names and email addresses never pass through third-party intermediate servers during these queries.

Pull verified Fera.ai reviews and product ratings directly into Claude Desktop to build trust-driven landing pages.

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Connect Fera.ai MCP to Claude Desktop

Create your Vinkius account to connect Fera.ai to Claude Desktop 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 Claude Desktop

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Pull live reviews into Claude Desktop

The `list_reviews` tool connects Claude Desktop to your Fera.ai review database so you can pull raw customer feedback right into your chat window. Instead of copy-pasting customer complaints or praise, you let your Claude Desktop agent read the latest Fera.ai entries to draft context-aware email replies or social proof copy. You can also run `get_review` to inspect specific Fera.ai customer testimonials inside Claude Desktop when analyzing satisfaction trends. Claude Desktop uses this live Fera.ai data to write highly targeted marketing campaigns based on real customer words rather than generic templates.

Audit product ratings inside your workspace

Querying `get_product_rating` fetches aggregated Fera.ai scores and review counts for any tracked item directly into Claude Desktop. Having this data inside Claude Desktop means your agent can quickly cross-reference low-performing products with their actual Fera.ai customer sentiment scores. Combining this with `list_products` allows Claude Desktop to build automated reports on catalog health without opening a browser tab. Your Claude Desktop workspace handles the heavy lifting, matching SKUs with real-time Fera.ai ratings to flag items that need immediate attention.

Manage social proof widgets via this MCP Server

With `list_site_content`, you can expose active Fera.ai widgets and social proof banners directly to your local Claude Desktop workspace. By using this MCP tool, your Claude Desktop agent can see exactly what trust badges are active on your storefront and suggest improvements based on current review volume. It also pulls customer-submitted photos and videos through Fera.ai's `list_media` to help Claude Desktop plan visual asset updates. Claude Desktop processes these media lists to ensure your high-converting Fera.ai user-generated content gets placed where shoppers actually see it.

Setup guide

Set up Fera.ai MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Fera.ai MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Fera.ai MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under feraai-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 Claude Desktop

Start by opening your chat and asking your agent to run `list_reviews`. The desktop app uses the configured MCP Server to call the Fera.ai API, bringing real-time customer feedback directly into your active conversation thread.

No, this integration reads your setup via `list_site_content` rather than modifying live store layouts. Your desktop agent analyzes the active widget configuration to suggest optimizations, but actual design changes happen in your store admin.

Yes, you need an active Fera.ai subscription to call these endpoints from your desktop workspace. You can check your connection status and current plan tier at any time by running `get_account_info` in your chat to verify your token limits with this MCP integration.

Check your local configuration file to ensure your API keys match your Fera.ai credentials. Running `get_me` is the fastest way to check that Claude Desktop has a valid, authorized path to your store data.

All customer profiles accessed through `list_customers` remain secure because the data is processed locally on your machine via stdio. Your private customer names and email addresses never pass through third-party intermediate servers during these queries.

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