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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Modrinth through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "modrinth": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Modrinth, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Modrinth
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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.

LangChain's ecosystem of 500+ components combines seamlessly with Modrinth through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Modrinth via MCP

Why Use LangChain with the Modrinth MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Modrinth MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Modrinth queries for multi-turn workflows

Modrinth + LangChain Use Cases

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

01

RAG with live data: combine Modrinth tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Modrinth, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Modrinth tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Modrinth tool call, measure latency, and optimize your agent's performance

Modrinth MCP Tools for LangChain (10)

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

01

get_project

Get detailed Modrinth project info

02

get_project_dependencies

Get project dependencies

03

get_team_members

List project team members

04

get_user_profile

Get user profile info

05

get_version

Get specific version details

06

list_project_followers

List project followers

07

list_user_projects

List projects by a user

08

list_versions

List versions of a Modrinth project

09

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

10

search_users

Search for Modrinth users

Example Prompts for Modrinth in LangChain

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

01

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

02

"Who are the developers of the Sodium mod?"

03

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

Troubleshooting Modrinth MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Modrinth + LangChain FAQ

Common questions about integrating Modrinth MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Modrinth to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.