How do I get a Steam Web API Key?

Visit [**Steam Web API Key page**](https://steamcommunity.com/dev/apikey) while logged into your Steam account, agree to the terms, and you'll receive a unique key.

Can I check someone's game achievements?

Yes! Use `get_player_achievements` with the user's Steam ID and the game's App ID. The user's profile and achievements must be public.

Is playtime data available for all games?

Yes. The `get_owned_games` endpoint returns `playtime_forever` in minutes for each game. Recent playtime (2 weeks) is available via `get_recently_played_games`.

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

Name: Steam
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Steam through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Steam?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Steam tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through 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

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 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 to Pydantic AI via MCP

Follow these steps to integrate the Steam 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 10 tools from Steam with type-safe schemas

Why Use Pydantic AI with the Steam MCP Server

Pydantic AI provides unique advantages when paired with Steam 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 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 connection logic from agent behavior for testable, maintainable code

Steam + Pydantic AI Use Cases

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

Type-safe data pipelines: query Steam with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Steam tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Steam and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Steam responses and write comprehensive agent tests

Steam MCP Tools for Pydantic AI (10)

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

get_app_list

Get complete list of Steam apps

get_app_news

Get news articles for a Steam app

get_badge_progress

Get community badge progress for a user

get_owned_games

Get list of games owned by a Steam user

get_player_achievements

Get achievement progress for a player in a specific game

get_player_badges

Get badges equipped by a Steam user

get_player_summaries

Get profile information for Steam users

get_recently_played_games

Get games recently played by a Steam user

get_steam_level

Get the Steam level of a user

get_user_stats_for_game

Get user's statistics for a specific game

Example Prompts for Steam in Pydantic AI

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

"Show me the profile of Steam user 76561197960287930."

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

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

Troubleshooting Steam MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Steam + Pydantic AI FAQ

Common questions about integrating Steam MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Steam MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.