How to Use the Modrinth MCP in Vercel AI SDK

Q: Can I use Modrinth tools inside a Vercel AI SDK stream?

Yes. You just pass the tools from the MCP Server into your streamText call. The data flows into your UI as it arrives.

Stream real-time Minecraft mod data into your Vercel AI SDK interface without waiting for spinners.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Modrinth MCP to Vercel AI SDK

Create your Vinkius account to connect Modrinth to Vercel AI SDK 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 Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Search and fetch project data

Trigger `search_projects` directly from your frontend to find mods, resource packs, or plugins. Your users get immediate feedback as the agent retrieves results. Once a user selects a project, call `get_project` to pull full metadata. You can pipe these results straight into your UI components for a live experience.

Map out mod dependencies

Use `get_project_dependencies` to identify exactly what a project needs to run. This tool parses the dependency tree so your agent can verify compatibility. Combine this with `get_version` to confirm specific build requirements. It keeps your Vercel AI SDK app accurate when building modpacks.

Inspect project versions

Pull the entire history of a project using `list_versions`. Your agent can compare different releases to find the right one for a specific loader or game version. This MCP Server handles the request logic, leaving your code to handle the display. It's built for fast iteration on the web.

Setup guide

Set up Modrinth MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Modrinth tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Modrinth transactions",
});

console.log(text);
await mcpClient.close();

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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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Modrinth MCP in Vercel AI SDK

Yes. You just pass the tools from the MCP Server into your `streamText` call. The data flows into your UI as it arrives.

It does. The transport layer is lightweight, so you won't hit latency issues when running on the edge.

You handle them like any other tool call. Check the returned result object for error states and show a fallback UI if the project is missing.

This server uses public endpoints, so no keys are required for standard lookups. Your data stays scoped to the client session.

The server follows the platform rate limits. If you exceed them, the tools will return an error, which your agent can then handle gracefully.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Vercel AI SDK sdk-typescript

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