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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up RAWG Video Games Database MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all RAWG Video Games Database tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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
Use it with your favorite AI tools
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