How to Use the Modrinth MCP in LangChain

Q: Can a LangChain agent search Modrinth for specific Fabric mods?

Yes, the agent uses searchprojects with query parameters like the Fabric loader and game version. It parses the results to find matches that fit your target Minecraft environment.

Q: Can I chain Modrinth project lookups with other tools?

You can feed the output of listuserprojects directly into a database tool or file writer in the same LangChain execution. This lets your agent compile creator portfolios and save them locally.

Build multi-step Minecraft modding chains using the Modrinth MCP Server directly inside your LangChain agents.

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Connect Modrinth MCP to LangChain

Create your Vinkius account to connect Modrinth to LangChain 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 Modrinth with LangChain

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Perplexity

Resolve complex mod dependency trees in LangChain

`get_project_dependencies` feeds the raw dependency list of any Minecraft project directly into your LangChain ReAct loop. Your agent grabs a mod ID, pulls its dependencies, and instantly fires off subsequent queries to check each sub-dependency without manual code. This chain execution lets your agent map out entire server setups. You watch the entire process unfold in LangSmith, tracking exactly how one project's metadata triggers the next dependency lookup.

Filter Minecraft versions with LangChain chains

`list_versions` lets your LangChain agent fetch every available release for a specific mod to verify game version compatibility. The agent parses the game versions and loader types, matching them against your user's specific server profile. By linking this tool with `get_version`, your pipeline extracts the exact download URLs and hashes for the correct Fabric or Forge files. You get a verified list of download targets ready for your deployment script.

Query the Modrinth MCP Server for creators

`search_projects` allows your LangChain agent to find mods, resource packs, or plugins using natural language queries. The agent handles the search, then immediately calls `get_team_members` to verify who maintains the project before recommending it. This setup keeps your automated mod curation lists clean and trustworthy. You avoid abandoned projects by letting the agent inspect the project's update frequency and team roster in a single execution chain.

Setup guide

Set up Modrinth MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Modrinth tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "modrinth-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Modrinth transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Modrinth. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Modrinth MCP in LangChain

You use the LangChain MCP adapter to convert the Modrinth tools into standard LangChain tools. Initialize the client, call the tool getter, and pass that array straight to your agent constructor.

Yes, the agent uses `search_projects` with query parameters like the Fabric loader and game version. It parses the results to find matches that fit your target Minecraft environment.

LangSmith logs every single tool call, showing you the exact inputs sent to `get_project` and the returned JSON. You see the latency of each API request and can debug why a dependency resolution loop failed.

You can feed the output of `list_user_projects` directly into a database tool or file writer in the same LangChain execution. This lets your agent compile creator portfolios and save them locally.

This server only touches public Minecraft mod metadata, version files, and user profiles. Vinkius runs the server in an isolated sandbox, meaning your API tokens and session data remain secure and ephemeral.

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