How to Use the itch.io MCP in Pydantic AI

Q: Can I fetch multiple itch.io collections at once?

You must query collections individually. Use getusercollections to find the IDs, then iterate through them using getcollectiongames.

Build type-safe itch.io integrations with Pydantic AI to validate game metadata and collections at runtime.

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Connect itch.io MCP to Pydantic AI

Create your Vinkius account to connect itch.io 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 itch.io with Pydantic AI

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Strict Validation of itch.io MCP Server Game Libraries

The `get_user_games` tool pulls your purchased, collected, and developed games directly from your itch.io account. It returns structured fields like game titles, prices, and developer profiles. Pydantic AI validates this incoming data against strict Python schemas at runtime. If a game is missing a cover image or has an unexpected price format, the framework catches the type mismatch immediately.

Type-Safe Profile Verification

The `get_me` tool retrieves your itch.io username, display name, and profile URLs to verify your API connection. It acts as an immediate sanity check for your credentials before your agent starts running complex tasks. Because the framework enforces type safety, your agent won't crash on null values or unexpected profile formats. You get clean, validated user data ready for downstream logic.

Parse Structured Game Collections

The `get_user_collections` and `get_collection_games` tools let you retrieve custom lists of games and their associated metadata. You get clean lists of titles, prices, and developer info based on collection IDs. Your agent uses these tools to build verified catalogs of indie games. Pydantic AI ensures that every field in the collection payload conforms to your exact data models before processing. It makes the MCP integration completely reliable.

Setup guide

Set up itch.io 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": {
        "itchio-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about itch.io MCP in Pydantic AI

Instantiate the MCPToolset using your Vinkius HTTP endpoint. Pass this toolset to your Agent's toolsets parameter to register all four itch.io tools.

The framework raises a validation error at runtime. This prevents your agent from working with corrupted or hallucinated game metadata.

Yes. The MCP Server is model-agnostic, meaning you can run it with local models or commercial APIs through the Pydantic AI interface.

You must query collections individually. Use `get_user_collections` to find the IDs, then iterate through them using `get_collection_games`.

Vinkius processes all API requests inside secure, short-lived sandboxes. Your itch.io credentials are never exposed to the LLM or stored in plain text.

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