Steam Economy & Market Intelligence MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Steam Economy & Market Intelligence through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Steam Economy & Market Intelligence "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Steam Economy & Market Intelligence?"
)
print(result.data)
asyncio.run(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.
Pydantic AI validates every Steam Economy & Market Intelligence tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Steam Economy & Market Intelligence MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Steam Economy & Market Intelligence with type-safe schemas
Why Use Pydantic AI with the Steam Economy & Market Intelligence MCP Server
Pydantic AI provides unique advantages when paired with Steam Economy & Market Intelligence through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Steam Economy & Market Intelligence integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Steam Economy & Market Intelligence connection logic from agent behavior for testable, maintainable code
Steam Economy & Market Intelligence + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Steam Economy & Market Intelligence MCP Server delivers measurable value.
Type-safe data pipelines: query Steam Economy & Market Intelligence with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Steam Economy & Market Intelligence tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Steam Economy & Market Intelligence and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Steam Economy & Market Intelligence responses and write comprehensive agent tests
Steam Economy & Market Intelligence MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Steam Economy & Market Intelligence to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Steam Economy & Market Intelligence to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSteam Economy & Market Intelligence + Pydantic AI FAQ
Common questions about integrating Steam Economy & Market Intelligence MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.