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Vinkius

Fera.ai MCP Server for Windsurf 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Fera.ai through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

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.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "feraai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Fera.ai
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.

Windsurf's Cascade agent chains multiple Fera.ai tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your 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 Windsurf 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 Windsurf via MCP

Follow these steps to integrate the Fera.ai MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using Fera.ai

Open Cascade and ask: "Using Fera.ai, help me...". 12 tools available

Why Use Windsurf with the Fera.ai MCP Server

Windsurf provides unique advantages when paired with Fera.ai through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Fera.ai + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Fera.ai MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Fera.ai and generate models, types, or handlers based on real API responses

02

Live debugging: query Fera.ai tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Fera.ai and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Fera.ai data with Cascade's code generation to scaffold entire features in minutes

Fera.ai MCP Tools for Windsurf (12)

These 12 tools become available when you connect Fera.ai to Windsurf via MCP:

01

get_account_info

Get Fera account and subscription details

02

get_customer

Get details for a specific customer profile

03

get_me

Get current API token identity info

04

get_product_rating

Get aggregated rating and review count for a product

05

get_review

Get details for a specific review

06

list_customers

List customers who have submitted feedback

07

list_external_integrations

List active external integrations (Shopify, etc.)

08

list_media

List customer-submitted photos and videos (UGC)

09

list_products

List products being tracked by Fera

10

list_reviews

List all customer reviews for your store

11

list_site_content

List social proof content and widgets

12

list_stores

List stores managed under your account

Example Prompts for Fera.ai in Windsurf

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

01

"List the latest 5 reviews for my store."

02

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

03

"Check my active integrations on Fera."

Troubleshooting Fera.ai MCP Server with Windsurf

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

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Fera.ai + Windsurf FAQ

Common questions about integrating Fera.ai MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect Fera.ai to Windsurf

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.