How to Use the BattleMetrics MCP in Pydantic AI

Q: How does Pydantic AI parse BattleMetrics data over the MCP Server?

The framework uses the MCPToolset class to connect to the Vinkius endpoint. It automatically validates every JSON response against strict Pydantic models at runtime.

Q: Can I query game server leaderboards using BattleMetrics and Pydantic AI?

Yes. Your agent calls getserverleaderboard to fetch active players and their playtime. The framework validates that playtime values are returned as proper integers.

Validate live game server metrics and player records at runtime using Pydantic AI and type-safe schema checks.

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 Pydantic AI

Create your Vinkius account to connect BattleMetrics to Pydantic AI 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 Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate server metrics inside Pydantic AI

The `get_server` tool returns detailed server metadata, including IP addresses, ports, and current player counts. This MCP Server helps Pydantic AI force this raw payload into a strict schema, catching any API changes before they break your code. For tracking population trends, `get_server_player_count_history` provides time-series data. The framework guarantees that every timestamp in the history payload parses as a valid datetime object.

Audit server bans using this MCP Server

The `get_ban` tool fetches the reason, expiry date, and administrative scope of a specific penalty. Your agent uses this structured data to verify that a ban is still active and legally binding. When scanning bulk records, `list_bans` returns a paginated list of active restrictions. Pydantic AI ensures that every player identifier in the list matches your internal data models exactly.

Verified Player Tracking with Pydantic AI

The `get_player_sessions` tool tracks when players join or leave a server, alongside their total session duration. This runtime validation prevents your agent from processing corrupted session intervals. To find specific players, `list_players` executes a search query across all tracked servers. The resulting player profiles are parsed directly into typed Python objects for immediate use.

Setup guide

Set up BattleMetrics MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "battlemetrics-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to BattleMetrics tools.",
)

result = await agent.run("List recent BattleMetrics transactions")
print(result.output)

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 Pydantic AI

The framework uses the `MCPToolset` class to connect to the Vinkius endpoint. It automatically validates every JSON response against strict Pydantic models at runtime.

Yes. Your agent calls `get_server_leaderboard` to fetch active players and their playtime. The framework validates that playtime values are returned as proper integers.

The framework will raise a validation error immediately rather than letting your agent process bad data. This prevents silent failures in your production game analytics pipelines.

No. Vinkius hosts the server externally. You only need to provide the secure HTTP URL to your Pydantic AI toolset configuration.

Vinkius employs an ephemeral execution model where your server data and player IDs are processed inside a zero-trust sandbox. No data persists on the network after the API call completes.

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