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How to Use the RAWG Video Games Database MCP in Vercel AI SDK

Stream real-time gaming metadata from the RAWG Video Games Database directly into your Vercel AI SDK frontend without loading spinners.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect RAWG Video Games Database MCP to Vercel AI SDK

Create your Vinkius account to connect RAWG Video Games Database to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Instant game discovery with Vercel AI SDK

The `search_video_games` tool lets your agent query RAWG's database of over 500,000 titles to find matching releases instantly. This tool sends raw search results directly to your Vercel AI SDK stream, meaning your users see game titles and release dates pop up as the model finds them. Hook this MCP tool up to your Next.js frontend, let the model run the search, and watch the game list populate in real time on the edge.

Stream detailed game profiles to the edge

The `get_video_game_details` tool fetches deep metadata, ratings, and descriptions for any specific title in the database. When your user asks about a specific RPG or shooter, your agent invokes this tool to pull exact specs and reviews. Because this MCP Server runs in a secure V8 sandbox, you can call it directly from edge functions. This setup keeps your Vercel AI SDK application fast, feeding game details directly into your UI components without server-side latency bottlenecks.

Render platform compatibility tables live

The `list_video_game_platforms` tool provides a clean list of active systems like PS5, Xbox Series X, and PC. Your agent uses this tool to check where a title is playable before generating a response. Instead of hardcoding hardware lists, let this MCP Server supply live platform data to your Vercel AI SDK stream. Your UI updates dynamically, rendering clean badges for each system without manual frontend updates.

Setup guide

Set up RAWG Video Games Database MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all RAWG Video Games Database tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent RAWG Video Games Database transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RAWG. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about RAWG Video Games Database MCP in Vercel AI SDK

Import the MCP client and pass the tools to streamText. The model will execute search_video_games and stream the raw game titles directly to your frontend components.
Yes. This MCP Server runs in a secure V8 sandbox on Vinkius, making it fully compatible with lightweight edge runtimes. It handles the API requests upstream so your edge functions stay fast.
The SDK calls get_video_game_details automatically when a user asks about a specific game. You just need to spread the MCP server's tools into your model's tool configuration array.
No. Just call mcpClient.close() when your execution context ends. Vinkius handles the underlying HTTP transport, keeping the connection alive during active streaming sessions.
Your RAWG API key is encrypted at rest and injected only during runtime execution. No game search queries or platform requests are logged or stored on our servers.

Start using the RAWG Video Games Database MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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