How to Use the FreeToGame MCP in Vercel AI SDK

Build live game discovery UIs by streaming FreeToGame MCP Server data directly into your React frontend with the Vercel AI SDK.

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Connect FreeToGame MCP to Vercel AI SDK

Create your Vinkius account to connect FreeToGame to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FreeToGame with Vercel AI SDK

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Stream FreeToGame MCP Server results live

The `list_games` tool pulls the complete catalog of available free-to-play titles into your application. Your Vercel AI SDK setup pipes this data straight to the frontend while the LLM generates the response. Users watch the game grid populate in real-time. You skip the standard loading spinner entirely. Passing the MCP client to your streaming function means the exact second the API returns a batch of titles, your React components render them.

Build dynamic genre and platform filters

The `filter_games` tool accepts specific category tags and platform constraints to narrow down the massive game list. Your agent parses a user asking for fantasy PvP on browser and maps those exact parameters to the API request. Fetching targeted arrays keeps your application fast and your token usage low. The SDK handles the tool execution in the background, updating the UI state the moment the filtered payload arrives.

Expose system requirements on demand

The `get_game` tool fetches the heavy details for a single title, including exact hardware limits and minimum specs. When a user clicks a specific game card, your AI client triggers this tool to pull the deep data. You keep the initial load light by only requesting this information when needed. The Vercel integration ensures these secondary tool calls execute cleanly without breaking the existing streamed UI context.

Setup guide

Set up FreeToGame 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all FreeToGame tools. Pass them directly to generateText() or streamText() — 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.

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 FreeToGame transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FreeToGame. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about FreeToGame MCP in Vercel AI SDK

Install the required packages and instantiate the client using the create function. Point the HTTP transport URL to your Vinkius endpoint. Pass the tools method into your stream call.

Yes. The SDK pipes the tool execution output straight to your React or Next.js frontend. Users see the game lists appear instantly instead of waiting for the entire LLM response to finish.

Vinkius handles the underlying API access. You just need your single endpoint token for the MCP connection. Set up an auth provider in your Vercel setup if you need strict user-level access control.

Force your agent to rely on targeted filtering before falling back to the bulk list. Passing massive JSON arrays to the LLM burns through context windows quickly. Narrow the query parameters first.

This server only processes game metadata like genres, platforms, and system requirements. No personal identifiable information touches the system. Vinkius runs the query in a secure V8 Isolate sandbox that terminates immediately after returning the game stats.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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