How to Use the RAWG Video Games Database MCP in Mastra AI

Q: Is my game metadata search history kept private?

Yes. All data processed by searchvideogames is ephemeral and runs in a zero-trust sandbox. We never store your search parameters, platform lists, or game metadata.

Build resilient gaming workflows using Mastra AI and the RAWG Video Games Database with automated retries and branching logic.

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MCP Servers — Included with Plan

Connect RAWG Video Games Database MCP to Mastra AI

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

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Setup RAWG Video Games Database with Mastra AI

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Automate game catalog searches in Mastra AI workflows

The `search_video_games` tool queries the RAWG database to match titles, returning release years and ratings. Mastra AI agents use this tool to feed game lists into automated data-gathering pipelines. You can set up conditional steps based on what this MCP Server returns. If a search yields zero results, your workflow can automatically branch to try alternative search terms or log a flag for review.

Build deep metadata retrieval steps

The `get_video_game_details` tool extracts full specs, developer lists, and publisher information for any game ID. Your Mastra AI agent triggers this tool during deep-dive research workflows to build rich local gaming profiles. Since Mastra AI supports automatic retries with exponential backoff, temporary network blips won't break your data pipeline. This MCP Server handles the raw data fetching while your workflow manages the execution flow safely.

Validate platform targets across your agent pipelines

The `list_video_game_platforms` tool retrieves the official list of active gaming systems from RAWG. Your agent runs this tool to verify platform compatibility before executing cross-platform recommendation logic. Use this MCP tool to keep your workflow's internal database synchronized with the latest console generations. This ensures your Mastra AI agents never recommend a PC-only indie game to a user looking for PS5 releases.

Setup guide

Set up RAWG Video Games Database MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All RAWG Video Games Database tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "rawg-video-games-database-mcp-client",
  servers: {
    "rawg-video-games-database-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "RAWG Video Games Database Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to RAWG Video Games Database tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent RAWG Video Games Database transactions"
);
console.log(result.text);

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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 Mastra AI

Initialize the MCP client, call listTools(), and spread them directly into your agent's tools array. The agent will then use search_video_games whenever a user asks to find a game.

Yes. You can route your workflow based on the outputs of get_video_game_details. For example, if a game has a rating below 4.0, you can route it to a different notification branch.

Mastra AI's workflow engine uses built-in exponential backoff. If this MCP Server hits an API rate limit, the client automatically pauses and retries the call without crashing your application.

No. The client automatically detects the SSE or Streamable HTTP transport provided by Vinkius. You only need to supply the endpoint URL.

Yes. All data processed by search_video_games is ephemeral and runs in a zero-trust sandbox. We never store your search parameters, platform lists, or game metadata.

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