2,500+ MCP servers ready to use
Vinkius

BattleMetrics MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BattleMetrics through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="BattleMetrics Assistant",
            instructions=(
                "You help users interact with BattleMetrics. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from BattleMetrics"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 12 tools from BattleMetrics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BattleMetrics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the BattleMetrics MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 12 tools from BattleMetrics

Why Use OpenAI Agents SDK with the BattleMetrics MCP Server

OpenAI Agents SDK provides unique advantages when paired with BattleMetrics through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

BattleMetrics + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the BattleMetrics MCP Server delivers measurable value.

01

Automated workflows: build agents that query BattleMetrics, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries BattleMetrics, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through BattleMetrics tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query BattleMetrics to resolve tickets, look up records, and update statuses without human intervention

BattleMetrics MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect BattleMetrics to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting BattleMetrics to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

BattleMetrics + OpenAI Agents SDK FAQ

Common questions about integrating BattleMetrics MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect BattleMetrics to OpenAI Agents SDK

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