Fera.ai MCP Server for Windsurf 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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.




{
"mcpServers": {
"feraai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
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.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available
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.
Automated code generation: ask Cascade to fetch data from Fera.ai and generate models, types, or handlers based on real API responses
Live debugging: query Fera.ai tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Fera.ai and have Cascade generate comprehensive API docs automatically
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:
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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Fera.ai to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Fera.ai + Windsurf FAQ
Common questions about integrating Fera.ai MCP Server with Windsurf.
How does Windsurf discover MCP tools?
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.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
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 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
