How to Use the Epic Games EOS MCP in Pydantic AI

Use Pydantic AI with Epic Games EOS to enforce strict type safety and catch invalid data before your agent acts.

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Connect Epic Games EOS MCP to Pydantic AI

Create your Vinkius account to connect Epic Games EOS 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 Epic Games EOS with Pydantic AI

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Verify Epic Games EOS accounts with Pydantic AI

Every call to `get_account_info` gets validated against your Pydantic models at runtime. If the API returns a malformed field, the agent fails instantly rather than passing bad data. This gives you total confidence in the structure of the account info. You define the shape, and the system enforces it every time.

Validate friend lists in Pydantic AI agents

When you run `get_friends_list`, the response is parsed through your strict type definitions. It ensures your agent only ever sees valid friend objects. If the service returns an unexpected format, your agent catches the validation error immediately. No silent data corruption happens here.

Strictly search the Epic Games Store with Pydantic AI

Use `search_store_catalog` to pull store results while maintaining total type integrity. Your Pydantic models force the output into the exact schema your logic expects. It's the safest way to handle external catalog data. Your agent won't hallucinate fields that don't exist because the model won't allow it.

Setup guide

Set up Epic Games EOS 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": {
        "epic-games-eos-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Epic Games EOS transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Epic Games EOS. 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 Epic Games EOS MCP in Pydantic AI

The MCP toolset automatically maps the JSON response to your Pydantic model. If the fields don't match your schema, the framework raises a validation error.

It uses the unified MCPToolset, supporting both Streamable HTTP and SSE. Just point it at your server URL and you're good to go.

Yes, the framework is model-agnostic. You can run your Epic Games EOS logic against local LLMs or cloud-based ones without changing your code.

Your agent will fail validation until you update your Pydantic model. This is a feature—it prevents your logic from breaking silently.

We use encrypted endpoints and an ephemeral sandbox to process your data. No player account identifiers are stored on our end once the request closes.

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