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Vinkius

Steam MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Steam through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Steam, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Steam
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Steam MCP Server

Connect the Steam Web API to any AI agent and retrieve gaming data including player profiles, game libraries, achievements, and statistics through natural language.

The Vercel AI SDK gives every Steam tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Player Profiles — Retrieve public profile information including avatars, status, and account creation date
  • Game Library — List all games owned by a user with playtime statistics
  • Recent Activity — Check games played in the last 2 weeks with detailed session times
  • Achievement Tracking — View achievement unlock status and timestamps for any game
  • Player Statistics — Access in-game stats and performance metrics for specific titles
  • Steam Level & Badges — Check user level, equipped badges, and community progress
  • App News — Retrieve recent news articles and updates for any Steam app

The Steam MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Steam to Vercel AI SDK via MCP

Follow these steps to integrate the Steam MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Steam and passes them to the LLM

Why Use Vercel AI SDK with the Steam MCP Server

Vercel AI SDK provides unique advantages when paired with Steam through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Steam integration everywhere

03

Built-in streaming UI primitives let you display Steam tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Steam + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Steam MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Steam in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Steam tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Steam capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Steam through natural language queries

Steam MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Steam to Vercel AI SDK via MCP:

01

get_app_list

Get complete list of Steam apps

02

get_app_news

Get news articles for a Steam app

03

get_badge_progress

Get community badge progress for a user

04

get_owned_games

Get list of games owned by a Steam user

05

get_player_achievements

Get achievement progress for a player in a specific game

06

get_player_badges

Get badges equipped by a Steam user

07

get_player_summaries

Get profile information for Steam users

08

get_recently_played_games

Get games recently played by a Steam user

09

get_steam_level

Get the Steam level of a user

10

get_user_stats_for_game

Get user's statistics for a specific game

Example Prompts for Steam in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Steam immediately.

01

"Show me the profile of Steam user 76561197960287930."

02

"What games does user 76561197960287930 own and how much have they played?"

03

"Get recent news updates for Cyberpunk 2077 (App ID 1091500)."

Troubleshooting Steam MCP Server with Vercel AI SDK

Common issues when connecting Steam to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Steam + Vercel AI SDK FAQ

Common questions about integrating Steam MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Steam to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.