Bring Player Profiles
to LlamaIndex
Create your Vinkius account to connect Steam to LlamaIndex and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Steam Web API Key
- Start querying Steam data from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (10)
Get complete list of Steam apps
Get news articles for a Steam app
Get community badge progress for a user
Get list of games owned by a Steam user
Get achievement progress for a player in a specific game
Get badges equipped by a Steam user
Get profile information for Steam users
Get games recently played by a Steam user
Get the Steam level of a user
Get user's statistics for a specific game
Why LlamaIndex?
LlamaIndex agents combine Steam tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Steam tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Steam tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Steam, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Steam tools were called, what data was returned, and how it influenced the final answer
Steam in LlamaIndex
Why run Steam with Vinkius?
The Steam connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Steam using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Steam and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Steam to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Steam for LlamaIndex
Every request between LlamaIndex and Steam is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get a Steam Web API Key?
Visit Steam Web API Key page 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.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Steam tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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