How to Use the Fera.ai MCP in Windsurf

Pull Fera.ai reviews and ratings directly into your Windsurf workspace to build data-driven customer experiences.

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Connect Fera.ai MCP to Windsurf

Create your Vinkius account to connect Fera.ai to Windsurf 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 Windsurf

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Automate social proof in Windsurf

Cascade uses `get_product_rating` and `list_reviews` to pull real-time feedback into your current coding session. You tell your agent to improve a landing page, and it pulls the exact sentiment data required to back up your copy changes. This MCP Server lets Windsurf handle the heavy lifting of data retrieval. Instead of context-switching to a dashboard, you keep your focus on the code while your agent manages the review flow.

Visualize UGC with Windsurf

Use `list_media` to fetch customer photos and videos directly into your environment. Your agent can then structure these assets into your site’s layout without you manually downloading or resizing a single image. This integration turns raw customer content into structured data. You define the layout once, and the server handles the content injection through your agent’s automated planning.

Sync product metrics in Windsurf

Query `list_products` and `get_account_info` to keep your local mock data in sync with your live Fera.ai store. It’s the fastest way to ensure your local dev environment mirrors production sentiment. Your agent checks these endpoints to resolve discrepancies before you push code. It’s a clean way to maintain accuracy across your entire storefront setup.

Setup guide

Set up Fera.ai MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Fera.ai MCP

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

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Fera.ai payment history." If connected, Cascade will call the Fera.ai tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Fera.ai MCP in Windsurf

Open your Windsurf settings and navigate to the Cascade MCP panel. You can add the server configuration directly there or use the built-in marketplace to install it with one click.

Yes, Cascade chains the tools together to perform multi-step actions. You can tell it to fetch the latest `list_reviews` and update a specific component based on the sentiment found.

The connection uses a secure endpoint token you provide. Your data stays within the ephemeral sandbox provided by the MCP protocol, ensuring no unauthorized access occurs during your session.

You only need to provide your Fera.ai secret key once in your configuration file. After that, your agent handles the authentication for every tool call.

The server touches customer names, review text, and media uploads. Security is handled via your unique API token, and no data is stored on our servers beyond the scope of your active agent session.

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