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How to Use the Riot Games MCP in Vercel AI SDK

Stream live League of Legends stats directly into your Vercel AI SDK frontend with this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

Riot Games MCP on Cursor AI Code Editor MCP Client Riot Games MCP on Claude Desktop App MCP Integration Riot Games MCP on OpenAI Agents SDK MCP Compatible Riot Games MCP on Visual Studio Code MCP Extension Client Riot Games MCP on GitHub Copilot AI Agent MCP Integration Riot Games MCP on Google Gemini AI MCP Integration Riot Games MCP on Lovable AI Development MCP Client Riot Games MCP on Mistral AI Agents MCP Compatible Riot Games MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Riot Games MCP to Vercel AI SDK

Create your Vinkius account to connect Riot Games 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

Real-time match data for AI SDK apps

Feed live game data into your interface without the delay of traditional polling. Your Vercel AI SDK application uses `get_active_game` to push state changes directly to your users. Stop waiting for spinners. By connecting this MCP Server, your frontend renders summoner spell usage and champion bans the moment the API returns the payload.

Summoner lookups in Vercel AI SDK

Get player identifiers instantly using `get_account_by_riot_id` to resolve tags before initiating deeper queries. Your UI handles PUUIDs behind the scenes while keeping the user experience clean. Fetching metadata becomes a background task. You define the flow, and the agent resolves account details before the user even finishes their prompt.

Display mastery stats via AI SDK

Show off champion mastery levels by piping `get_champion_masteries` directly into your UI components. Your Vercel AI SDK implementation formats these points for a polished dashboard. Data mapping happens in real-time. You avoid the overhead of manual parsing by letting the server return structured mastery objects ready for your React or Vue components.

Setup guide

Set up Riot Games 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 Riot Games 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 Riot Games 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 Riot Games API. 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.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Riot Games MCP in Vercel AI SDK

You instantiate the client and pass the tool definitions into your streamText function. This exposes the Riot Games tools directly to your model for immediate execution.
You need to manage your request volume in your server-side logic. The MCP Server provides the raw data, but your Vercel AI SDK implementation must respect the Riot Games headers.
Yes, it is fully compatible. You can fetch your Riot Games match history from the edge to keep your latency low and your responses fast.
Keep your key in an environment variable on your server. Never expose it to the client-side code of your Vercel AI SDK build.
The server only touches your account metadata and game records. We use encrypted transport and never persist your credentials in the Vercel AI SDK session.

Start using the Riot Games MCP today

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

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Riot Games. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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