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Mod.io MCP Server for Pydantic AIGive Pydantic AI instant access to 22 tools to Add Collection, Add Mod, Delete Mod, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mod.io through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The Mod.io MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 22 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Mod.io "
            "(22 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mod.io?"
    )
    print(result.data)

asyncio.run(main())
Mod.io
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
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DLPData protection
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mod.io MCP Server

Connect your mod.io account to any AI agent to manage your gaming library and modding workflows through natural conversation.

Pydantic AI validates every Mod.io tool response against typed schemas, catching data inconsistencies at build time. Connect 22 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Game Discovery — Browse all games on the platform using get_games and fetch detailed stats and metadata for specific titles with get_game_stats.
  • Mod Management — Search for mods using get_mods, view detailed descriptions with get_mod, and manage your own mod profiles including adding, editing, or deleting entries.
  • User Subscriptions — Subscribe or unsubscribe from mods using subscribe_mod and unsubscribe_mod, rate content with rate_mod, and track your personal collections.
  • Account Insights — Access your profile with get_me, check your wallet information via get_wallets, and view purchased content directly through the API.

The Mod.io MCP Server exposes 22 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 22 Mod.io tools available for Pydantic AI

When Pydantic AI connects to Mod.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning modding, user-generated-content, game-api, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add collection on Mod.io

Requires OAuth 2 Access Token. Create a new mod collection

add

Add mod on Mod.io

Requires OAuth 2 Access Token. Add a new mod to a game

delete

Delete mod on Mod.io

Requires OAuth 2 Access Token. Delete a mod

edit

Edit mod on Mod.io

Requires OAuth 2 Access Token. Edit details of an existing mod

get

Get collection mods on Mod.io

Get mods within a collection

get

Get collections on Mod.io

Get all mod collections for a game

get

Get game on Mod.io

Get details for a specific game

get

Get game stats on Mod.io

Get statistics for a game

get

Get games on Mod.io

io platform. Get all games on mod.io

get

Get me on Mod.io

Requires OAuth 2 Access Token. Get authenticated user details

get

Get mod on Mod.io

Get details for a specific mod

get

Get mod file on Mod.io

Get a specific modfile

get

Get mod files on Mod.io

Get all files for a mod

get

Get mods on Mod.io

Get all mods for a game

get

Get my purchases on Mod.io

Requires OAuth 2 Access Token. Get mods purchased by the user

get

Get my ratings on Mod.io

Requires OAuth 2 Access Token. Get ratings submitted by the user

get

Get my subscriptions on Mod.io

Requires OAuth 2 Access Token. Get mods the user is subscribed to

get

Get my wallets on Mod.io

Requires OAuth 2 Access Token. Get user wallets for monetization

get

Get terms on Mod.io

Get text and links for user consent dialogs

rate

Rate mod on Mod.io

Requires OAuth 2 Access Token. Rate a mod

subscribe

Subscribe mod on Mod.io

Requires OAuth 2 Access Token. Subscribe to a mod

unsubscribe

Unsubscribe mod on Mod.io

Requires OAuth 2 Access Token. Unsubscribe from a mod

Connect Mod.io to Pydantic AI via MCP

Follow these steps to wire Mod.io into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 22 tools from Mod.io with type-safe schemas

Why Use Pydantic AI with the Mod.io MCP Server

Pydantic AI provides unique advantages when paired with Mod.io through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Mod.io integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Mod.io connection logic from agent behavior for testable, maintainable code

Mod.io + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Mod.io MCP Server delivers measurable value.

01

Type-safe data pipelines: query Mod.io with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Mod.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Mod.io and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Mod.io responses and write comprehensive agent tests

Example Prompts for Mod.io in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Mod.io immediately.

01

"List all games available on mod.io."

02

"Show me the mods for game ID 123."

03

"Rate mod 789 for game 123 as positive."

Troubleshooting Mod.io MCP Server with Pydantic AI

Common issues when connecting Mod.io to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mod.io + Pydantic AI FAQ

Common questions about integrating Mod.io MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Mod.io MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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