Judge.me MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Judge.me 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 Judge.me, 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 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.
The Vercel AI SDK gives every Judge.me tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Judge.me MCP Server exposes 10 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 Judge.me to Vercel AI SDK via MCP
Follow these steps to integrate the Judge.me 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 10 tools from Judge.me and passes them to the LLM
Why Use Vercel AI SDK with the Judge.me MCP Server
Vercel AI SDK provides unique advantages when paired with Judge.me 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 Judge.me integration everywhere
Built-in streaming UI primitives let you display Judge.me 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
Judge.me + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Judge.me MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Judge.me in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Judge.me tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Judge.me capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Judge.me through natural language queries
Judge.me MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Judge.me to Vercel AI SDK via MCP:
get_product
Essential for providing a summary of a product's performance. Retrieves details for a specific product
get_question
Use this before preparing an official answer. Retrieves details for a specific question
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
get_settings
me app for the shop, including review widgets and email settings. Useful for system configuration auditing. Retrieves shop settings for Judge.me
list_answers
Use this to audit responses and check if queries have been resolved. Lists all answers to questions
list_coupons
me (often used as rewards for reviews). Useful for auditing incentive programs. Lists all active discount coupons
list_medias
Essential for analyzing user-generated content (UGC). Lists all media (images/videos) attached to reviews
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
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
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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Judge.me immediately.
"List all recent product reviews in Judge.me."
"Show me the questions asked for product ID '123'."
"Check for any active discount coupons."
Troubleshooting Judge.me MCP Server with Vercel AI SDK
Common issues when connecting Judge.me to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJudge.me + Vercel AI SDK FAQ
Common questions about integrating Judge.me 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 Judge.me 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 Judge.me to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.