How to Use the ContentGroove MCP in Vercel AI SDK

Q: How do I show ContentGroove clips in my Vercel AI SDK project?

Call the listallclips tool within your tool-calling loop. Pass the returned array to your UI components to display the highlight library instantly.

Q: Can my Vercel AI SDK app check ContentGroove upload status?

Yes, use getmediastatus to poll the processing state. This keeps your user informed while the server handles the video ingest.

Q: How do I trigger ContentGroove uploads from the client?

Generate a signed URL using createdirectupload. Send this URL to your client-side upload function to bypass server-side bottlenecks.

Stream video highlights directly into your Vercel AI SDK interface without waiting for background tasks.

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Connect ContentGroove MCP to Vercel AI SDK

Create your Vinkius account to connect ContentGroove 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 ContentGroove with Vercel AI SDK

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Live video processing in your AI SDK app

Trigger `create_direct_upload` to get a signed URL, letting your users push raw footage straight into ContentGroove through your front end. The SDK handles the heavy lifting while keeping the UI responsive. Your application tracks the progress using `get_media_status`. Since this MCP server supports streaming, you can update your React or Next.js components the second the video is ready for editing.

Automated highlight clipping for AI SDK

Feed a URL into `create_media_from_url` to have ContentGroove generate clips automatically. You don't need to build a custom processing engine to get your highlights. Once the clips are ready, use `list_all_clips` to pull the data into your state. Your users see the generated clips appear in real-time within your AI-driven dashboard.

Manage media projects via AI SDK

Use `list_media` to fetch every project stored in your account. It gives your interface a complete view of the user's library without complex backend logic. Call `get_media_details` or `get_media_clips` to display specific project metadata. You control exactly what data reaches the browser, keeping your Vercel AI SDK implementation lean and fast.

Setup guide

Set up ContentGroove 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 ContentGroove 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 ContentGroove transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ContentGroove. 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

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

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Common questions about ContentGroove MCP in Vercel AI SDK

Call the `list_all_clips` tool within your tool-calling loop. Pass the returned array to your UI components to display the highlight library instantly.

Yes, use `get_media_status` to poll the processing state. This keeps your user informed while the server handles the video ingest.

It does. Because the server returns tool results directly, your AI agent can stream the metadata updates right into your active UI thread.

Generate a signed URL using `create_direct_upload`. Send this URL to your client-side upload function to bypass server-side bottlenecks.

We secure your raw video files and generated clips using isolated environment tokens. Your credentials never touch the client-side code during the request cycle.

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