How to Use the Heybox MCP in Pydantic AI

Q: How do I add the Heybox MCP server to Pydantic AI?

Install the slim package and use MCPToolset to connect to your Vinkius endpoint. It automatically validates all incoming tool responses against your models.

Strictly type-safe Heybox data for Pydantic AI. Ensure valid game stats and market prices in every agent response.

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Connect Heybox MCP to Pydantic AI

Create your Vinkius account to connect Heybox 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.

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Setup Heybox with Pydantic AI

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Pydantic AI agents with validated Heybox data

Every response from `get_user_stats` or `get_match_history` is validated against Pydantic models. You get runtime guarantees that the data your agent sees is exactly what you expect. This prevents silent errors common with unstructured API calls. If the data format changes, your agent fails fast with a clear validation error.

Reliable market price lookups

Use `get_market_prices` knowing that the results are typed and checked. Pydantic AI ensures that your agent doesn't hallucinate fields when dealing with volatile market items. Setup is simple. Use the `MCPToolset` class and pass it directly to your agent. It handles the connection and validation logic in one go.

Gaming community trends with type safety

Your agent can safely parse community content using `list_community_posts` and `get_post_detail`. Since the output is strictly typed, your agent can reliably extract specific details like post dates or IDs. This approach is perfect for agents that need to perform tasks like automated reporting. You know exactly what the data looks like before your agent touches it.

Setup guide

Set up Heybox 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": {
        "heybox-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Heybox MCP in Pydantic AI

Install the slim package and use `MCPToolset` to connect to your Vinkius endpoint. It automatically validates all incoming tool responses against your models.

Pydantic AI raises a validation error immediately. This stops the agent from proceeding with bad data, keeping your workflow clean and predictable.

Yes. Pydantic AI is model-agnostic, so you can switch between models while keeping your Heybox tool integration consistent.

Vinkius secures your server with an ephemeral, zero-trust sandbox. Only your authenticated agent can trigger these tools.

Yes, it supports SSE and HTTP transports, which work well with Pydantic AI's streaming capabilities for fast, real-time agent responses.

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