How to Use the Frame.io MCP in Vercel AI SDK

Q: Can I use Frame.io to post comments from my AI-sdk app?

Yes. Use the addcomment tool within your agent logic to send feedback directly to the asset timeline. It reflects in the platform immediately.

Bring your video review workflow into your Vercel AI SDK interface. Fetch assets and log comments in real-time.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Frame.io MCP to Vercel AI SDK

Create your Vinkius account to connect Frame.io 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 Frame.io with Vercel AI SDK

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Real-time asset feedback in AI-sdk

Pipe live video metadata directly into your frontend. Use `get_asset_details` to pull technical specs while your agent handles the heavy lifting of parsing incoming frames. Your users see the output instantly. By streaming results from `list_asset_comments`, you remove the need for static page refreshes during a fast-paced edit session.

Manage review links via AI-sdk

Trigger `list_review_links` to surface active drafts for your users. It gives your interface the context it needs to show the right version of a cut without manual searching. Building with the SDK means your UI stays reactive. When an agent calls `add_comment`, the state updates in the browser before the user even finishes typing their next thought.

Streamline account data in AI-sdk

Query `list_projects` and `list_teams` to show a clean dashboard view. You get the structure of your production environment without writing custom API wrappers. This MCP Server handles the connection logic. You just focus on how the data looks on screen, keeping your TypeScript code clean and free of redundant fetch calls.

Setup guide

Set up Frame.io 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 Frame.io 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 Frame.io 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 Frame.io. 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.

Connect Frame.io now

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

60%

lower AI costs

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

Single dashboard

One

place for every integration

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

Common questions about Frame.io MCP in Vercel AI SDK

Install the necessary packages and initialize the client using the Vercel AI SDK transport. Point your URL to the Vinkius endpoint and you're ready to call tools.

Yes. Use the `add_comment` tool within your agent logic to send feedback directly to the asset timeline. It reflects in the platform immediately.

It does. Because you're using the SDK's streaming capabilities, tool results like those from `list_asset_comments` push straight to your UI as they arrive.

Use environment variables for your tokens and pass them through the auth provider. Keep your keys out of the client-side code.

It touches your project metadata, folder structure, and comment history. Vinkius keeps this isolated in a sandbox, so your credentials never leak into your frontend.

Use it with your favorite AI tools

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

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