How to Use the BattleMetrics MCP in OpenAI Agents SDK
Your OpenAI Agents SDK pipelines can now query live player stats and enforce game bans across servers without custom API glue.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BattleMetrics MCP to OpenAI Agents SDK
Create your Vinkius account to connect BattleMetrics to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Track server telemetry inside OpenAI Agents SDK
The `get_server` tool queries live game server details like IP addresses, player counts, and map statuses directly. This MCP Server lets your agent use this data to make routing decisions or flag dead servers. For historical analysis, `get_server_player_count_history` pulls raw population trends over specific time blocks. This lets your pipeline identify peak hours and schedule maintenance windows without human intervention.
Audit player sessions using this MCP Server
The `get_player_sessions` tool pulls exact join times, leave times, and session durations for any player ID. Your agent checks these records to flag suspicious play patterns or verify active playtime. Run `get_server_leaderboard` to build active player lists ranked by total time on the server. The agent parses this raw data to reward top players or track retention metrics automatically.
Enforce bans automatically with OpenAI Agents SDK
The `get_ban` tool checks specific ban reasons, expiration dates, and the admin who issued the penalty. Your safety agent reads this context to decide if an incoming player should be blocked across your entire organization. Combine this with `list_bans` to scan active restrictions across multiple game servers. The OpenAI Agents SDK handles the guardrails, making sure your agent doesn't execute ban checks without proper API scopes.
Set up BattleMetrics MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all BattleMetrics tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives BattleMetrics tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate BattleMetrics tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="BattleMetrics Agent",
instructions="You have access to BattleMetrics tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BattleMetrics. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about BattleMetrics MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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