How to Use the B5 Arena MCP in OpenAI Agents SDK
Feed real-time Counter-Strike match telemetry directly to your OpenAI Agents SDK pipelines with zero manual parsing.
Works with every AI agent you already use
…and any MCP-compatible client
Connect B5 Arena MCP to OpenAI Agents SDK
Create your Vinkius account to connect B5 Arena 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 player performance and ELO
Use `get_user_data` to pull raw account summaries and ELO ratings directly into your agent workflows using this MCP Server. Look, if you need to find specific profiles first, call `search_user` to resolve usernames to IDs. Your agents can then build performance profiles using pure, verified matchmaking data.
Extract match telemetry and highlights
Get raw scoreboard data from completed matches by calling `get_match_scoreboard`. If you want the absolute best plays, call `get_clutch_highlights` to grab timestamps of 1vX situations. Feed those markers straight into your video editors or clip bots.
Audit match integrity via the B5 Arena MCP Server
Check anti-cheat status across the platform using `get_ban_list` to flag compromised accounts. Combine this with `get_server_status` to verify node health and ensure network latency isn't skewing your match analysis. Your production agents run these checks automatically before writing to your database.
Set up B5 Arena 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 B5 Arena tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives B5 Arena tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate B5 Arena 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="B5 Arena Agent",
instructions="You have access to B5 Arena 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 B5 Arena. 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 B5 Arena MCP in OpenAI Agents SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the B5 Arena MCP today
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