How do I find a specific game server?

Use the `list_servers` tool with the search parameter. You can filter by server name, game type (e.g. rust, ark), or country code (e.g. US, DE). The results include server name, IP, player count, and rank. For more advanced filtering (min/max players), use the `search_servers` tool.

Can I track a player's activity across different servers?

Yes. Use `list_players` to find the player by name, then `get_player` to view their full profile, and `get_player_sessions` to see their complete session history including which servers they joined, when they connected and disconnected, and for how long.

What games does BattleMetrics support?

BattleMetrics tracks hundreds of multiplayer games including Rust, ARK, Minecraft, CS2, Valheim, DayZ, and many more. Use the `list_games` tool to get the complete, up-to-date catalog of all supported games with their identifiers.

How do I get details about a specific ban?

First use `list_bans` to find the ban and get its numeric ban ID. Then use `get_ban` with that ID to retrieve the complete ban record including the reason, player identifier, expiry date, scope, and issuing administrator.

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

Name: BattleMetrics
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BattleMetrics 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 BattleMetrics "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

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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.

Pydantic AI validates every BattleMetrics tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

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 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 BattleMetrics to Pydantic AI via MCP

Follow these steps to integrate the BattleMetrics 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 12 tools from BattleMetrics with type-safe schemas

Why Use Pydantic AI with the BattleMetrics MCP Server

Pydantic AI provides unique advantages when paired with BattleMetrics 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 BattleMetrics integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your BattleMetrics connection logic from agent behavior for testable, maintainable code

BattleMetrics + Pydantic AI Use Cases

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

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

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

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

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

BattleMetrics MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect BattleMetrics to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BattleMetrics + Pydantic AI FAQ

Common questions about integrating BattleMetrics 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 BattleMetrics MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.