How to Use the FreeToGame MCP in Pydantic AI
Type-safe game discovery agents built with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FreeToGame MCP to Pydantic AI
Create your Vinkius account to connect FreeToGame 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.
Pydantic AI MCP Server Validation
When the agent calls `list_games` via the FreeToGame MCP server, it gets an array of titles that your framework validates at runtime. This feeds raw game directories into your agent with strict data shaping. If the external API drops a field or changes a type, the agent fails loudly. You catch the validation error immediately instead of passing corrupted game data downstream to your users.
Type-Strict Tag Filtering
`filter_games` forces the agent to use specific tag strings to narrow down the game database. It searches by categories like fantasy, pvp, or mmorpg while applying platform constraints. Because Pydantic AI is model-agnostic, you can swap between Anthropic and local models without changing the tool logic. The framework guarantees the model passes the right string format to the filtering endpoint every time.
Extract Structured Hardware Specs
`get_game` pulls the deep details for a single game, including the exact minimum CPU and RAM required to run it. The agent requests this data using the unique game ID. You define a strict response model for your agent. It parses the hardware specs from the tool and maps them perfectly to your internal schema, dropping any empty fields or malformed screenshot URLs.
Set up FreeToGame 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"freetogame-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to FreeToGame tools.",
)
result = await agent.run("List recent FreeToGame transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FreeToGame. 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 FreeToGame MCP in Pydantic AI
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