How to Use the BattleMetrics MCP in CrewAI

Q: Can I restrict which tools my agents can use?

You use the toolfilter option in the configuration to limit an agent to specific functions like listservers or getban.

Deploy a specialized crew of agents to manage and monitor BattleMetrics data.

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Connect BattleMetrics MCP to CrewAI

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

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Setup BattleMetrics with CrewAI

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Multi-agent server oversight for CrewAI

Assign one agent to watch server population with `get_server_player_count_history` while another processes the data. They work in tandem to keep your operations running. Use `search_servers` to let your research agent find new servers to track. It feeds the results directly into the crew's shared memory for the analysis agent to use.

Automated player analysis and reporting

Have your moderator agent check player status with `get_player`. If the agent finds an issue, it can immediately pull session logs using `get_player_sessions`. This specialized approach lets your agents handle the heavy lifting. One agent digs into the records while the other summarizes the findings for you.

Centralized ban and game management

Task a security agent with scanning `list_bans` for specific infractions. It ensures your crew is always aware of the current enforcement state. Use `list_games` to give your crew context about the games being monitored. It keeps the agents aligned on which servers and players matter most.

Setup guide

Set up BattleMetrics MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke BattleMetrics tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="BattleMetrics Analyst",
    goal="Access and analyze BattleMetrics data via MCP.",
    backstory="Expert analyst with direct BattleMetrics access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent BattleMetrics transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="BattleMetrics Analyst",
        goal="Access and analyze BattleMetrics data via MCP.",
        backstory="Expert analyst with direct BattleMetrics access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent BattleMetrics transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about BattleMetrics MCP in CrewAI

Yes, the framework uses shared memory to pass the output of one tool, like `get_player`, to another agent in the crew.

You pass the server URL directly into your agent's MCP configuration. Once connected, your crew gains access to all 12 tools.

The server manages the connection, and you can add logic to your agents to pace their requests. This keeps you within the API boundaries while the crew works.

You use the tool_filter option in the configuration to limit an agent to specific functions like `list_servers` or `get_ban`.

Your agent sessions are ephemeral and run within a secure sandbox. We never store your tokens or player history after the process concludes.

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