How to Use the MediaSilo (Legacy) MCP in Vercel AI SDK

Q: How do I show MediaSilo (Legacy) thumbnails in Vercel AI SDK?

Call getasset to retrieve the source URL. You then render that URL in your component as you would with any other image or video source.

Stream MediaSilo (Legacy) asset data directly into your Vercel AI SDK frontends with zero-latency updates.

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…and any MCP-compatible client

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Connect MediaSilo (Legacy) MCP to Vercel AI SDK

Create your Vinkius account to connect MediaSilo (Legacy) 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 MediaSilo (Legacy) with Vercel AI SDK

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Real-time asset streaming for AI-sdk

Feed your UI live project data by piping `list_assets` and `get_asset` results directly into your streamText calls. Your users see asset metadata populate the interface the moment the agent pulls it from the workspace. Stop waiting for loaders. By integrating this MCP server, the Vercel AI SDK renders the video context immediately, letting your frontend handle the state transitions without manual polling.

Manage workspace access via AI-sdk

Control who sees what by calling `list_project_users` and `get_user` inside your server-side logic. You can now verify permissions before the agent displays sensitive project details to the end user. This keeps your application secure while maintaining the speed your users expect. Every tool call provides the necessary context to filter access based on current authenticated credentials.

Automate project discovery in AI-sdk

Use `list_projects` to build dynamic navigation menus in your React or Next.js components. The agent identifies relevant workspaces automatically, removing the need for hardcoded IDs in your production code. When the agent needs specific folder contents, `list_folder_assets` provides the exact file list for the current view. It’s a clean way to keep your frontend state synced with your media library.

Setup guide

Set up MediaSilo (Legacy) 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 MediaSilo (Legacy) 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 MediaSilo (Legacy) 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 MediaSilo (Legacy). 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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Real-time monitoring

Live

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

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Common questions about MediaSilo (Legacy) MCP in Vercel AI SDK

Yes. You connect the server and pass the tools to your agent configuration. The Vercel AI SDK handles the execution and returns the metadata as typed objects.

It does. You configure your environment variables to handle the handshake. The SDK manages the transport layer while the server handles the API calls.

Call `get_asset` to retrieve the source URL. You then render that URL in your component as you would with any other image or video source.

The server runs as a local process or sidecar. This minimizes round-trip time, ensuring your UI updates as fast as the API responds.

Your credentials never touch the client-side code. The MCP server acts as a proxy, ensuring that sensitive workspace data stays within your secure backend environment.

Use it with your favorite AI tools

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

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