BattleMetrics MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query BattleMetrics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries BattleMetrics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through BattleMetrics tools and transform it with OpenAI models in a single async loop
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:
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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting BattleMetrics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
BattleMetrics + OpenAI Agents SDK FAQ
Common questions about integrating BattleMetrics MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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.
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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 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.
