Is a Personal Access Token (PAT) mandatory to use this server?

No. Modrinth allows public searching and browsing without a token. However, providing a PAT increases your rate limits and ensures smoother operation during heavy usage.

Can I check the members of a mod's development team?

Yes! Use the `get_team_members` tool with the project's slug or ID to see the list of authors and contributors.

How do I see what other mods a project requires?

Use the `get_project_dependencies` tool to retrieve a list of all required and optional dependencies for a specific mod or pack.

Modrinth MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Modrinth
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Modrinth "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Modrinth MCP Server

Connect to the Modrinth ecosystem through your AI agent to discover and manage Minecraft mods, resource packs, and plugins using natural conversation.

Pydantic AI validates every Modrinth tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Project Discovery — Search for projects using advanced filters for game versions, loaders, and categories.
Version Management — List all available versions for any project and get detailed download links and metadata.
Dependency Tracking — Automatically identify other projects that a mod depends on to function correctly.
User & Team Insights — View public profiles, search for creators, and list team members for any project.
Community Metrics — Monitor project popularity by listing followers and viewing detailed metadata including download counts.
Direct Download Info — Access specific version files, hashes, and loader compatibility details.

The Modrinth MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Modrinth to Pydantic AI via MCP

Follow these steps to integrate the Modrinth MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Modrinth with type-safe schemas

Why Use Pydantic AI with the Modrinth MCP Server

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

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

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

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

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

Modrinth + Pydantic AI Use Cases

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

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

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

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

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

Modrinth MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Modrinth to Pydantic AI via MCP:

get_project

Get detailed Modrinth project info

get_project_dependencies

Get project dependencies

get_team_members

List project team members

get_user_profile

Get user profile info

get_version

Get specific version details

list_project_followers

List project followers

list_user_projects

List projects by a user

list_versions

List versions of a Modrinth project

search_projects

You can include game versions (e.g., 1.20.1) or loaders (e.g., Fabric) in your query. Search for Minecraft projects on Modrinth

search_users

Search for Modrinth users

Example Prompts for Modrinth in Pydantic AI

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

"Search for optimization mods for Minecraft 1.20.1 using Fabric."

"Who are the developers of the Sodium mod?"

"What does the 'Iris Shaders' mod depend on?"

Troubleshooting Modrinth MCP Server with Pydantic AI

Common issues when connecting Modrinth to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Modrinth + Pydantic AI FAQ

Common questions about integrating Modrinth MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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