BattleMetrics MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BattleMetrics as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 BattleMetrics. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in BattleMetrics?"
)
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 BattleMetrics MCP Server
Empower your AI agent to operate as a real-time intelligence layer over the global gaming server ecosystem with BattleMetrics, the industry-standard platform for game server monitoring. By connecting BattleMetrics to your agent, you transform complex server population analytics, player lookups, and ban auditing into natural conversation. Your agent can instantly search across thousands of tracked game servers, identify specific players, analyze population trends, and review ban records without navigating dashboards.
LlamaIndex agents combine BattleMetrics tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Server Discovery — Search and filter game servers by name, game, or country. View live player counts, rank, IP address, and detailed metadata.
- Player Lookups — Search the global player database by name and retrieve full profiles including identifiers, playtime stats, and linked servers.
- Session Tracking — View a player's complete session history showing which servers they played on, join/leave times, and duration.
- Population Analytics — Retrieve historical player count data for any server to analyze peak hours, activity trends, and growth patterns.
- Ban Auditing — List and review bans from your organization, filter by server, and inspect ban reasons, scope, and expiry.
- Leaderboards — Access time-based leaderboards for any server to identify the most active players.
- Game Catalog — Browse all games tracked by BattleMetrics and get detailed ecosystem statistics.
The BattleMetrics MCP Server exposes 12 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 BattleMetrics to LlamaIndex via MCP
Follow these steps to integrate the BattleMetrics 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 12 tools from BattleMetrics
Why Use LlamaIndex with the BattleMetrics MCP Server
LlamaIndex provides unique advantages when paired with BattleMetrics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BattleMetrics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BattleMetrics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BattleMetrics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BattleMetrics tools were called, what data was returned, and how it influenced the final answer
BattleMetrics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BattleMetrics MCP Server delivers measurable value.
Hybrid search: combine BattleMetrics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BattleMetrics 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 BattleMetrics for fresh data
Analytical workflows: chain BattleMetrics queries with LlamaIndex's data connectors to build multi-source analytical reports
BattleMetrics MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect BattleMetrics to LlamaIndex via MCP:
get_ban
Returns the ban reason, banned player identifier, timestamps, expiry date, scope (server-level or organization-wide), and the administrator who issued the ban. Requires appropriate ban:read scope on the API token. Use this after identifying a ban ID from list_bans. Get details for a specific ban
get_game
Returns details such as the game name, the number of tracked servers and players, and game-specific metadata. Use this to get an overview of a game's ecosystem on BattleMetrics. Get details about a specific tracked game
get_player
Returns the player name, associated identifiers (Steam, EOS, etc.), time played statistics, linked servers, and recent activity. Use this after identifying a player ID from list_players or session history. Get detailed profile for a specific player
get_player_sessions
Each session shows which server the player was on, when they joined, when they left, and the session duration. Useful for auditing player activity, tracking playtime, or verifying presence on a specific server. Get session history for a specific player
get_server
Returns the server name, IP address, port, current player count, max players, rank, game details, map, status, and detailed metadata. Use this when the user already has a server ID and wants deep information. Get detailed information about a specific game server
get_server_leaderboard
Returns player names, IDs, and playtime duration. This is useful for identifying the most active or dedicated players on any tracked game server. Use page_number for pagination. Get the time-based leaderboard for a game server
get_server_player_count_history
Useful for analyzing population trends, peak hours, and server activity patterns over a given time range. If start and stop are omitted, the API returns recent history. Use ISO 8601 timestamps for the date range. Get player count history for a game server over time
list_bans
Each ban includes the ban reason, the banned player identifier, timestamps, expiry, and scope (server-level or organization-wide). Requires appropriate ban:read scope on the API token. Use page_number for pagination and optional server_id to filter bans from a specific server. List bans in your BattleMetrics organization
list_games
Returns each game's ID, display name, and metadata. Useful for discovering which games are available for server and player queries, and for getting the correct game identifier to use in server filters. List all games tracked by BattleMetrics
list_players
Use the search parameter to find players by name. Returns player names, IDs, and metadata. Results are paginated — use page_number to navigate. This is a powerful tool for looking up any player across all supported games. Search and list players across all tracked game servers
list_servers
Use the optional search parameter to find servers by name, or filter by game and country. Returns server name, IP, port, player count, rank, and game type. Results are paginated — use page_number to navigate through results. List game servers tracked by BattleMetrics
search_servers
Unlike the basic list_servers tool, this supports granular filtering by server name, game, country, minimum/maximum player count, rank range, and more. Returns matching servers with full metadata including name, IP, port, player count, rank, game type, map, and status. Use this when you need precise filtering to find specific servers. Results are paginated — use page_number to navigate. Search game servers with advanced filters
Example Prompts for BattleMetrics in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BattleMetrics immediately.
"Show me the most popular Rust servers in the US right now."
"Look up the player 'shroud' and show me their recent session history."
"Show me the player count trend for server ID 12345 over the last 7 days."
Troubleshooting BattleMetrics MCP Server with LlamaIndex
Common issues when connecting BattleMetrics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBattleMetrics + LlamaIndex FAQ
Common questions about integrating BattleMetrics 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 BattleMetrics 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 BattleMetrics to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.