How to Use the BattleMetrics MCP in AutoGen

Q: How do I load BattleMetrics MCP tools into AutoGen?

Install the autogen-extmcp package. Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius URL. The McpToolAdapter automatically converts the JSON schemas so your AssistantAgent can understand them.

Q: How do AutoGen agents handle BattleMetrics pagination?

When an agent calls searchservers and sees the results are incomplete, it recognizes the schema accepts a pagenumber parameter. It will automatically call the tool again with the next integer to fetch the remaining data.

Deploy AutoGen multi-agent squads to debate BattleMetrics MCP Server data, audit sessions, and negotiate bans.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BattleMetrics MCP to AutoGen

Create your Vinkius account to connect BattleMetrics to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup BattleMetrics with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate Moderation Actions via MCP Server

Moderation requires context. You can assign a security agent to pull enforcement records using the `list_bans` tool. It extracts the initial ban reasons and passes the IDs to `get_ban` for administrator details. A separate player-advocate agent reviews the same output. The two agents debate the severity of the infraction. The security agent points to previous server-level bans, while the advocate checks `get_player_sessions` to argue the user has played cleanly for months. They negotiate until reaching a consensus on whether to lift the restriction.

Analyze Server Performance Competitively

Deciding which game servers to keep online involves conflicting priorities. A finance agent wants to cut costs by shutting down empty instances. It calls `search_servers` to find low-ranked servers and checks `get_server_player_count_history` to prove they stay empty during peak hours. A community agent argues back. It runs `get_server_leaderboard` to show that a small but highly dedicated group of veteran players relies on that specific IP address. The framework forces them to deliberate over the raw metrics before proposing a final server roster.

Cross-Reference Player Identities

Tracking ban evaders involves piecing together fragmented identifiers. An investigator agent uses `list_players` to search for suspicious usernames across your tracked games. It grabs the returned IDs and feeds them into the `get_player` tool to expose linked Steam and EOS accounts. Another agent cross-references those linked accounts against known offender lists. If they spot a mismatch, they challenge the investigator's findings. The conversation continues until both agents agree on the player's true identity based on the BattleMetrics data.

Setup guide

Set up BattleMetrics MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BattleMetrics tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BattleMetrics_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BattleMetrics data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BattleMetrics_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BattleMetrics data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BattleMetrics now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BattleMetrics MCP in AutoGen

Install the autogen-ext[mcp] package. Use mcp_server_tools with StreamableHttpServerParams pointing to your Vinkius URL. The McpToolAdapter automatically converts the JSON schemas so your AssistantAgent can understand them.

Yes. You pass the generated tool list to any agent that needs data access. One agent might specialize in get_server queries while another handles list_games, allowing them to divide the workload during their conversation.

When an agent calls search_servers and sees the results are incomplete, it recognizes the schema accepts a page_number parameter. It will automatically call the tool again with the next integer to fetch the remaining data.

The agent receives the error string instead of the expected JSON. It will typically analyze the failure, adjust its parameters—like fixing an invalid ISO 8601 timestamp for get_server_player_count_history—and retry the call before continuing the discussion.

Your agents are handling sensitive linked Steam IDs and raw session durations. Vinkius isolates the connection entirely. We use temporary endpoint tokens to authenticate, and the execution environment is wiped clean the second your agents finish their debate.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript