Steam Performance & Scouting Intelligence MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Steam Performance & Scouting Intelligence as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Steam Performance & Scouting Intelligence. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Steam Performance & Scouting Intelligence?"
)
print(response)
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 Performance & Scouting Intelligence MCP Server
Transform your AI agent into a professional e-sports scout and performance analyst via Steam Performance & Scouting Intelligence. This server provides high-precision access to official game statistics and user achievements, allowing your agent to audit player skill levels, track technical milestones, and identify high-performance benchmarks across thousands of Steam titles. Whether you are a coach analyzing a pro-player's history or an analytical gamer monitoring your own progress, your agent acts as a dedicated technical scout through natural conversation.
LlamaIndex agents combine Steam Performance & Scouting Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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.
What you can do
- Technical Scouting — Retrieve granular in-game statistics including kills, technical objectives, and class-specific playtime
- Achievement Auditing — Track individual player achievements and compare them against global rarity percentages to quantify skill
- Server Intelligence — Fetch real-time status and metadata for dedicated game servers via IP address
- Roster & Ban Monitoring — Audit user levels, badges, and official ban statuses (VAC/Game) to ensure integrity in competitive environments
The Steam Performance & Scouting Intelligence MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex 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 Performance & Scouting Intelligence to LlamaIndex via MCP
Follow these steps to integrate the Steam Performance & Scouting Intelligence MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 11 tools from Steam Performance & Scouting Intelligence
Why Use LlamaIndex with the Steam Performance & Scouting Intelligence MCP Server
LlamaIndex provides unique advantages when paired with Steam Performance & Scouting Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Steam Performance & Scouting Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Steam Performance & Scouting Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Steam Performance & Scouting Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Steam Performance & Scouting Intelligence tools were called, what data was returned, and how it influenced the final answer
Steam Performance & Scouting Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Steam Performance & Scouting Intelligence MCP Server delivers measurable value.
Hybrid search: combine Steam Performance & Scouting Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Steam Performance & Scouting Intelligence to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Steam Performance & Scouting Intelligence for fresh data
Analytical workflows: chain Steam Performance & Scouting Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
Steam Performance & Scouting Intelligence MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Steam Performance & Scouting Intelligence to LlamaIndex via MCP:
get_friend_list
Requires the user profile to be public. Get the friend list of a Steam user
get_game_schema
Get the full stats and achievements schema for a game
get_global_achievement_percentages
Get global unlock percentages for all achievements in a game
get_owned_games
List all games owned by a player with playtime
get_player_achievements
Get achievement unlock status for a user in a game
get_player_badges
List all community badges earned by a player
get_player_bans
Check VAC, community, and economy ban status
get_player_profile
Get Steam profile info for one or more players
get_recently_played_games
List games played in the last 2 weeks
get_steam_level
Get the Steam level of a player
get_user_game_stats
) tracked by Steam for a user in a given game. Get raw gameplay stats for a user in a specific game
Example Prompts for Steam Performance & Scouting Intelligence in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Steam Performance & Scouting Intelligence immediately.
"Audit the technical performance of player '7656119803...' in Deadlock."
"Check for active VAC bans on SteamID '7656119803...'."
"Compare the achievement rarity for 'Elden Ring' between my account and global stats."
Troubleshooting Steam Performance & Scouting Intelligence MCP Server with LlamaIndex
Common issues when connecting Steam Performance & Scouting Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSteam Performance & Scouting Intelligence + LlamaIndex FAQ
Common questions about integrating Steam Performance & Scouting Intelligence MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Steam Performance & Scouting 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.
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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 Performance & Scouting Intelligence to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.