Fera.ai MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fera.ai through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Fera.ai, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Fera.ai tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Fera.ai MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Fera.ai and passes them to the LLM
Why Use Vercel AI SDK with the Fera.ai MCP Server
Vercel AI SDK provides unique advantages when paired with Fera.ai through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Fera.ai integration everywhere
Built-in streaming UI primitives let you display Fera.ai tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Fera.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fera.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fera.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fera.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fera.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fera.ai through natural language queries
Fera.ai MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Fera.ai to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Fera.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFera.ai + Vercel AI SDK FAQ
Common questions about integrating Fera.ai MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Fera.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.