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 CrewAI 10 tools — connect in under 2 minutes

Name: Modrinth
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Modrinth through the Vinkius — pass the Edge URL in the `mcps` parameter and every Modrinth tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Modrinth Specialist",
    goal="Help users interact with Modrinth effectively",
    backstory=(
        "You are an expert at leveraging Modrinth tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Modrinth "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Modrinth becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Modrinth tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Modrinth MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Modrinth

Why Use CrewAI with the Modrinth MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Modrinth through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Modrinth + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Modrinth for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Modrinth, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Modrinth tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Modrinth against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Modrinth MCP Tools for CrewAI (10)

These 10 tools become available when you connect Modrinth to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Modrinth + CrewAI FAQ

Common questions about integrating Modrinth MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.