How to Use the Fera.ai MCP in Cursor

Q: How do I display Fera.ai ratings in my Cursor agent chat?

Ask your agent to run getproductrating with a specific product SKU. Cursor queries the Fera.ai API through the local MCP Server config and prints the exact rating score and review count in your sidebar.

Q: Can I generate Tailwind components using Fera.ai data?

Yes, your agent can fetch live feedback using listreviews and use that exact structure to write styled cards. This ensures your CSS layout handles long review text and customer names without breaking.

Q: Does the Fera.ai MCP Server support multi-store setups in Cursor?

Yes, you can run liststores in the Cursor chat to view all managed store IDs. Once you select the target store, your MCP agent configures its queries to pull the correct reviews and product ratings.

Q: How do I check my Fera.ai API credentials in Cursor?

Run the getme tool inside your editor chat to check your current token permissions. If the connection fails, confirm that your secret key is correctly defined in your local configuration file.

Q: How are sensitive customer profiles protected during local queries?

Your customer records accessed via listcustomers are protected because Cursor communicates with the API using direct local processes. No personal details, email addresses, or purchase histories are stored or indexed outside of your active editor workspace.

Generate frontend components in Cursor using real Fera.ai ratings and customer reviews to avoid mock data stubs.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Fera.ai MCP to Cursor

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

GDPR Free for Subscribers

Setup Fera.ai with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build review widgets with live store data

The `list_reviews` tool feeds actual Fera.ai customer feedback directly into Cursor's code-generation engine during active chat sessions. Instead of guessing how your JSON payloads look, the Cursor editor reads live Fera.ai reviews to write precise TypeScript interfaces for your frontend components. You can use `get_review` to pull a single Fera.ai payload structure and let Cursor generate matching Tailwind classes. This keeps your Cursor UI development grounded in the actual Fera.ai schema your store uses every day.

Write rating components with this MCP Server

Querying `get_product_rating` supplies real-time aggregate star ratings and review counts from Fera.ai directly to your Cursor agent. This MCP integration allows the Cursor editor to write dynamic React or Vue components that display accurate product scores without relying on hardcoded placeholders. By calling `list_products` alongside this tool, your Cursor editor maps Fera.ai rating data across your entire catalog schema. Your Cursor agent writes safer data-fetching hooks because it knows the exact shape of your store's Fera.ai product metadata.

Access user-generated media while coding in Cursor

With `list_media`, you can retrieve Fera.ai customer-submitted photos and videos to help you design media galleries inside Cursor. The editor reads the returned URLs to write image optimization components that handle actual Fera.ai customer uploads. It also queries `list_site_content` to help Cursor understand how your existing widgets display these assets. Custom gallery alternatives can be built in Cursor to perfectly match your current live Fera.ai store configuration.

Setup guide

Set up Fera.ai MCP in Cursor

Prerequisites

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

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Fera.ai MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Fera.ai transactions." If the MCP tools are loaded correctly, Cursor will call the Fera.ai tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.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.

Connect Fera.ai now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about Fera.ai MCP in Cursor

Ask your agent to run `get_product_rating` with a specific product SKU. Cursor queries the Fera.ai API through the local MCP Server config and prints the exact rating score and review count in your sidebar.

Yes, your agent can fetch live feedback using `list_reviews` and use that exact structure to write styled cards. This ensures your CSS layout handles long review text and customer names without breaking.

Yes, you can run `list_stores` in the Cursor chat to view all managed store IDs. Once you select the target store, your MCP agent configures its queries to pull the correct reviews and product ratings.

Run the `get_me` tool inside your editor chat to check your current token permissions. If the connection fails, confirm that your secret key is correctly defined in your local configuration file.

Your customer records accessed via `list_customers` are protected because Cursor communicates with the API using direct local processes. No personal details, email addresses, or purchase histories are stored or indexed outside of your active editor workspace.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript