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BattleMetrics MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect BattleMetrics through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "battlemetrics": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "BattleMetrics Agent",
    instructions:
      "You help users interact with BattleMetrics " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with BattleMetrics?"
  );
  console.log(result.text);
}

main();
BattleMetrics
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and BattleMetrics tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra 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 BattleMetrics to Mastra AI via MCP

Follow these steps to integrate the BattleMetrics MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from BattleMetrics via MCP

Why Use Mastra AI with the BattleMetrics MCP Server

Mastra AI provides unique advantages when paired with BattleMetrics through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BattleMetrics without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every BattleMetrics tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

BattleMetrics + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the BattleMetrics MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query BattleMetrics, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed BattleMetrics as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query BattleMetrics on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using BattleMetrics tools alongside other MCP servers

BattleMetrics MCP Tools for Mastra AI (12)

These 12 tools become available when you connect BattleMetrics to Mastra AI via MCP:

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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

09

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

10

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

11

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

12

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 Mastra AI

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

01

"Show me the most popular Rust servers in the US right now."

02

"Look up the player 'shroud' and show me their recent session history."

03

"Show me the player count trend for server ID 12345 over the last 7 days."

Troubleshooting BattleMetrics MCP Server with Mastra AI

Common issues when connecting BattleMetrics to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

BattleMetrics + Mastra AI FAQ

Common questions about integrating BattleMetrics MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect BattleMetrics to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.