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Judge.me MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Judge.me through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "judgeme": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Judge.me Agent",
    instructions:
      "You help users interact with Judge.me " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Judge.me?"
  );
  console.log(result.text);
}

main();
Judge.me
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* 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 Judge.me MCP Server

Empower your AI agents with Judge.me's comprehensive product review platform. This MCP server allows you to list and retrieve product reviews, track customer questions and answers, manage coupons, and view shop settings directly through the Judge.me API. Ideal for automating social proof management and customer feedback analysis.

Mastra's agent abstraction provides a clean separation between LLM logic and Judge.me tool infrastructure. Connect 10 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.

The Judge.me MCP Server exposes 10 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 Judge.me to Mastra AI via MCP

Follow these steps to integrate the Judge.me MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Judge.me via MCP

Why Use Mastra AI with the Judge.me MCP Server

Mastra AI provides unique advantages when paired with Judge.me through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Judge.me without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Judge.me tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Judge.me + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Judge.me MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Judge.me, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Judge.me as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Judge.me on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Judge.me tools alongside other MCP servers

Judge.me MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Judge.me to Mastra AI via MCP:

01

get_product

Essential for providing a summary of a product's performance. Retrieves details for a specific product

02

get_question

Use this before preparing an official answer. Retrieves details for a specific question

03

get_review

Returns deep-dive information including metadata and moderation status. Use this when analyzing a particular customer case or response. Retrieves details for a specific review

04

get_settings

me app for the shop, including review widgets and email settings. Useful for system configuration auditing. Retrieves shop settings for Judge.me

05

list_answers

Use this to audit responses and check if queries have been resolved. Lists all answers to questions

06

list_coupons

me (often used as rewards for reviews). Useful for auditing incentive programs. Lists all active discount coupons

07

list_medias

Essential for analyzing user-generated content (UGC). Lists all media (images/videos) attached to reviews

08

list_products

me. Includes product names, IDs, and aggregate review counts. Use this to identify products for review analysis. Lists all products in the shop

09

list_questions

me Q&A feature. Returns question text, status, and IDs. Use this to identify customer inquiries that need answers. Lists all customer questions

10

list_reviews

me platform. Returns reviewer names, ratings, review titles, and bodies. Use this to monitor customer sentiment and analyze product feedback. Lists all product reviews

Example Prompts for Judge.me in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Judge.me immediately.

01

"List all recent product reviews in Judge.me."

02

"Show me the questions asked for product ID '123'."

03

"Check for any active discount coupons."

Troubleshooting Judge.me MCP Server with Mastra AI

Common issues when connecting Judge.me to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Judge.me + Mastra AI FAQ

Common questions about integrating Judge.me MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Judge.me to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.