How to Use the RAWG Video Games Database MCP in Pydantic AI

Validate RAWG Video Games Database responses with Pydantic AI to ensure type-safe game metadata in your Python applications.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect RAWG Video Games Database MCP to Pydantic AI

Create your Vinkius account to connect RAWG Video Games Database to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup RAWG Video Games Database with Pydantic AI

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Type-checked search with Pydantic AI

Execute `search_video_games` and have the response validated against your schema at runtime. If the API returns malformed data, your agent catches it immediately. This prevents silent errors in your game discovery pipeline. You define the expected model, and the framework enforces it on every tool call.

Reliable metadata retrieval for Pydantic AI

Trigger `get_video_game_details` to fetch game info with strictly defined types. Your agent rejects any response that doesn't match your Pydantic models. You gain total confidence in the data your agent uses to make decisions. It stops hallucinations by validating fields before they hit your logic layer.

Platform validation via MCP Server

Run `list_video_game_platforms` to get a validated list of hardware. The response is parsed into your defined types before the agent touches it. This keeps your application logic clean and safe from API changes. If the schema shifts, your agent fails fast with a clear validation error.

Setup guide

Set up RAWG Video Games Database 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": {
        "rawg-video-games-database-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent RAWG Video Games Database transactions")
print(result.output)

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