How to Use the MobyGames MCP in Pydantic AI
Build type-safe game data pipelines with Pydantic AI and validated API schemas.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MobyGames MCP to Pydantic AI
Create your Vinkius account to connect MobyGames 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.
Validate game metadata with Pydantic AI
The `get_game_by_id` tool returns structured game records including release dates, platforms, and genres. Pydantic AI enforces strict runtime validation on these fields, ensuring your application never processes malformed game data. If a field like release date is missing or formatted incorrectly, the framework catches the error immediately instead of letting bad data corrupt your database. This makes it safe to ingest thousands of historical games automatically.
Parse developer credits with this MCP Server
The `get_game_credits` tool extracts person names, roles, and departments for a specific title. Your agent maps these credits to strongly typed Python models, making it easy to build developer networks. You can combine this with `get_developers` to check developer profiles and their historical game counts. Every single developer record is validated at runtime, ensuring your data pipelines remain clean and predictable.
Filter games using strict platform schemas
The `get_platforms` and `get_genres` tools fetch valid database IDs for games and hardware. Your agent uses these lists to validate user search queries before calling `search_games` over the MCP connection. By validating parameters like platform IDs locally, you avoid sending junk queries to the server. This keeps your API usage efficient and prevents runtime exceptions during active game searches.
Set up MobyGames 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": {
"mobygames-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to MobyGames tools.",
)
result = await agent.run("List recent MobyGames 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 MobyGames. 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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Built-in savings
60%
lower AI costs
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Common questions about MobyGames MCP in Pydantic AI
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