How to Use the Brightcove MCP in Vercel AI SDK

Q: Can Vercel AI SDK edit Brightcove playlists?

Absolutely. You can map the createplaylist tool to a button or a chat command in your UI to modify your content sets on the fly.

Stream Brightcove video metadata into your Vercel AI SDK frontends for real-time UI updates.

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Connect Brightcove MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Live video metadata injection

Feed your video library stats directly into React components. Use `get_video` to pull specific details that show up instantly as your agent processes the request. Your users won't stare at loading spinners anymore. The SDK handles the stream, so the UI updates the moment the MCP server returns the data.

Manage Brightcove playlists via Vercel AI SDK

Trigger `create_playlist` or `update_video` calls right from your server-side logic. It turns your interface into a command center for your video assets. Everything happens in the background. Your code handles the state changes while the agent manages the heavy lifting of library organization.

Account-wide video auditing

Run `get_video_count` to keep your dashboard metrics accurate. It gives you a bird's-eye view of your entire Brightcove account health. Combine this with `list_folders` to build custom navigation trees. Your AI client parses the structure and presents it cleanly to the end user.

Setup guide

Set up Brightcove 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 Brightcove 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 Brightcove 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 Brightcove. 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.

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Common questions about Brightcove MCP in Vercel AI SDK

Initialize the client using the provided transport URL and pass the tools into your generateText call. This setup lets your agents query your video library during the standard request lifecycle.

Yes, it runs on the edge without issues. The HTTP transport ensures your functions stay lightweight while your agent handles the video operations.

Absolutely. You can map the `create_playlist` tool to a button or a chat command in your UI to modify your content sets on the fly.

We use scoped endpoint tokens to lock down access. Your video IDs and account credentials never leave the isolated V8 sandbox environment.

Video identifiers are treated as transient state within your agent session. No persistent logs of your metadata are stored on our servers.

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