How to Use the Modrinth MCP in Mastra AI

Q: Does Mastra AI support human approval for Modrinth tool actions?

Yes. You can use the requireToolApproval flag to pause the agent before it executes any changes based on Modrinth data.

Q: Can I chain Modrinth tools in a Mastra AI workflow?

Absolutely. You can pass the output of listuserprojects into getproject to inspect every project a specific user has published.

Build resilient Minecraft discovery workflows in Mastra AI using automated tool retries.

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Connect Modrinth MCP to Mastra AI

Create your Vinkius account to connect Modrinth to Mastra AI 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 Mastra AI

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Automate project discovery

Use `search_projects` to feed your Mastra AI agents the latest data from the platform. It acts as the entry point for your automated research workflows. If the first search returns too many results, have your agent refine the query using specific game versions and loaders.

Verify team and user data

Run `get_team_members` or `search_users` to validate contributors for any project. This helps your agent identify verified authors during the discovery phase. It ensures your workflow isn't pulling data from unknown or untrusted sources. The tool provides a clean JSON output for your agent to process.

Handle complex version logic

Deploy `get_project_dependencies` inside your Mastra AI workflow to resolve build requirements. If a dependency lookup fails, the framework automatically retries the operation. This keeps your pipeline moving without manual intervention. It makes managing long lists of mods much easier.

Setup guide

Set up Modrinth MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Modrinth tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "modrinth-mcp-client",
  servers: {
    "modrinth-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Modrinth Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Modrinth tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Modrinth transactions"
);
console.log(result.text);

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Common questions about Modrinth MCP in Mastra AI

You instantiate the client and spread the tools into the agent configuration. It takes one command to get everything running.

Yes. You can use the `requireToolApproval` flag to pause the agent before it executes any changes based on Modrinth data.

The framework handles retries with exponential backoff. If the API is busy, your agent waits and tries again automatically.

Absolutely. You can pass the output of `list_user_projects` into `get_project` to inspect every project a specific user has published.

It only reads public project metadata like names, descriptions, and version history. It doesn't touch your personal account credentials or private files.

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