OpenCritic MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenCritic through the 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 OpenCritic, 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 OpenCritic MCP Server
Equip your AI agent with the most reliable video game intelligence available via OpenCritic. This unified server provides your agent with instant access to aggregate review scores, detailed critic snippets, and historical rankings for thousands of games. Your agent can instantly search for specific titles, audit recent review trends, and retrieve the Hall of Fame for any given year without you ever needing to browse a review site. Whether you are identifying the best games of the year or auditing individual critic opinions, your agent acts as a dedicated gaming analyst through natural conversation.
The Vercel AI SDK gives every OpenCritic tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- Game Discovery — Search for thousands of video games by title and retrieve their OpenCritic rating and tier.
- Review Auditing — Fetch detailed snippets and scores from individual critics and publications for any game.
- Market Trends — Retrieve lists of upcoming releases and currently popular/trending games on the platform.
- Historical Rankings — Access the 'Hall of Fame' to identify the top-rated games for a specific year.
- Critic Intelligence — List and inspect recognized critics and publications to understand the source of reviews.
The OpenCritic MCP Server exposes 8 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 OpenCritic to Vercel AI SDK via MCP
Follow these steps to integrate the OpenCritic 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 8 tools from OpenCritic and passes them to the LLM
Why Use Vercel AI SDK with the OpenCritic MCP Server
Vercel AI SDK provides unique advantages when paired with OpenCritic 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 OpenCritic integration everywhere
Built-in streaming UI primitives let you display OpenCritic 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
OpenCritic + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OpenCritic MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OpenCritic in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OpenCritic tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OpenCritic capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OpenCritic through natural language queries
OpenCritic MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect OpenCritic to Vercel AI SDK via MCP:
get_game_details
Get game details
get_game_reviews
Get game reviews
get_hall_of_fame
Get Hall of Fame games
get_popular_games
Get popular games
get_recent_reviews
Get recent reviews
get_upcoming_games
Get upcoming games
list_critics
List critics
search_games
Search for video games
Example Prompts for OpenCritic in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OpenCritic immediately.
"What is the OpenCritic score for 'Elden Ring'?"
"List the top games from 2023."
"Show me upcoming games on OpenCritic."
Troubleshooting OpenCritic MCP Server with Vercel AI SDK
Common issues when connecting OpenCritic to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpenCritic + Vercel AI SDK FAQ
Common questions about integrating OpenCritic 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 OpenCritic 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 OpenCritic to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.