Fera.ai MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Fera.ai through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"feraai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Fera.ai Agent",
instructions:
"You help users interact with Fera.ai " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Fera.ai?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Fera.ai tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Fera.ai MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Fera.ai via MCP
Why Use Mastra AI with the Fera.ai MCP Server
Mastra AI provides unique advantages when paired with Fera.ai through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Fera.ai without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Fera.ai tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Fera.ai + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Fera.ai MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Fera.ai, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Fera.ai as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Fera.ai on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Fera.ai tools alongside other MCP servers
Fera.ai MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Fera.ai to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Fera.ai to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFera.ai + Mastra AI FAQ
Common questions about integrating Fera.ai MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.