Steam Economy & Market Intelligence MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Steam Economy & Market Intelligence through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Economy & Market Intelligence, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Economy & Market Intelligence MCP Server
Equip your AI agent with professional-grade digital asset intelligence via Steam Economy & Market Intelligence. This server provides deep access to the Steam Community Market and user inventories, allowing your agent to audit item rarities, track historical price trends, and calculate the total monetary value of gaming collections. Whether you are a dedicated CS2 trader, a Dota 2 collector, or an analyst monitoring the virtual economy, your agent acts as a professional digital broker and asset auditor through natural conversation.
The Vercel AI SDK gives every Steam Economy & Market Intelligence tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Inventory Auditing — Retrieve a complete list of items within a user's inventory, including detailed descriptions and rarities
- Market Intelligence — Fetch real-time price overviews, buy/sell orders, and popular item trends from the Steam Market
- Price Backtesting — Access historical price data to identify long-term value trends for specific gaming assets
- Financial Monitoring — Track wallet balances and trade offer statuses to orchestrate digital operations efficiently
The Steam Economy & Market Intelligence MCP Server exposes 8 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 Economy & Market Intelligence to Vercel AI SDK via MCP
Follow these steps to integrate the Steam Economy & Market Intelligence MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Steam Economy & Market Intelligence and passes them to the LLM
Why Use Vercel AI SDK with the Steam Economy & Market Intelligence MCP Server
Vercel AI SDK provides unique advantages when paired with Steam Economy & Market Intelligence through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Steam Economy & Market Intelligence integration everywhere
Built-in streaming UI primitives let you display Steam Economy & Market Intelligence tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Steam Economy & Market Intelligence + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Steam Economy & Market Intelligence MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Steam Economy & Market Intelligence in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Steam Economy & Market Intelligence tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Steam Economy & Market Intelligence capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Steam Economy & Market Intelligence through natural language queries
Steam Economy & Market Intelligence MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Steam Economy & Market Intelligence to Vercel AI SDK via MCP:
get_active_trade_offers
List active incoming and outgoing trade offers
get_asset_class_info
Get technical metadata for specific item classes
get_market_price
Use exact Market Hash Name. Get current Steam Market price for an item
get_store_asset_prices
Get official in-game store prices for an app
get_trade_history
Get completed trade history
get_trade_hold_duration
Check trade hold duration with a specific user
get_user_inventory
AppIDs: 730=CS2, 570=Dota2, 440=TF2, 753=Steam. Get the full inventory for a user in a specific game
search_market_listings
Returns item names, prices, quantity listed, and thumbnails. Search for items on the Steam Community Market
Example Prompts for Steam Economy & Market Intelligence in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Steam Economy & Market Intelligence immediately.
"Analyze my CS2 inventory (ID: 7656119803...) and estimate its total market value."
"What is the current market price and 30-day trend for 'Fracture Case'?"
"List all incoming trade offers for my account."
Troubleshooting Steam Economy & Market Intelligence MCP Server with Vercel AI SDK
Common issues when connecting Steam Economy & Market Intelligence to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSteam Economy & Market Intelligence + Vercel AI SDK FAQ
Common questions about integrating Steam Economy & Market Intelligence MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Steam Economy & Market Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Steam Economy & Market Intelligence to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.