How to Use the EX.CO Video Experience MCP in Vercel AI SDK

Q: Can EX.CO Video Experience show live engagement metrics in Vercel AI SDK?

Yes. By calling getvideoanalyticssummary within your agent flow, you can stream the latest performance data straight into your UI.

Q: How do I filter videos using EX.CO Video Experience and Vercel AI SDK?

Use listvideolibrary to grab your full list and then pass that data to your agent to filter by status or playlist.

Stream EX.CO Video Experience data directly into your Vercel AI SDK frontends for real-time video performance updates.

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Connect EX.CO Video Experience MCP to Vercel AI SDK

Create your Vinkius account to connect EX.CO Video Experience 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 EX.CO Video Experience with Vercel AI SDK

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Real-time video library management

Feed your UI live video statuses by calling `list_video_library` and `list_successfully_published_videos`. You get the current state of your assets pushed straight into your React components without waiting on manual API refreshes. This MCP Server handles the connection logic so your frontend stays responsive. Your users see video metadata populate the screen as soon as the data streams from your account.

Instant analytics in your AI SDK tools

Trigger `get_video_analytics_summary` or `quick_video_performance_audit` to display engagement metrics inside your chat interface. It turns raw performance numbers into immediate visual feedback for your end users. Everything happens over standard HTTP transport, fitting right into your edge functions. You define the tools in your `streamText` call and let the agent handle the data fetching.

Deep content intelligence for interfaces

Access specific metadata for any content item using `get_content_detailed_intelligence`. This provides the granular detail needed for complex dashboards and interactive content management. Use `list_interactive_content` to map out quizzes and polls within your application layout. It simplifies the way your code interacts with the EX.CO API by abstracting the request structure into clean tool calls.

Setup guide

Set up EX.CO Video Experience 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 EX.CO Video Experience 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 EX.CO Video Experience 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 EX.CO Video Experience. 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 EX.CO Video Experience MCP in Vercel AI SDK

Install the MCP client via npm and point it to your server URL. Use `createMCPClient` to establish the connection and pass the tools directly into your `generateText` function.

Yes. By calling `get_video_analytics_summary` within your agent flow, you can stream the latest performance data straight into your UI.

It does. The MCP Server transmits results as they arrive, allowing your frontend to render video data before the full request completes.

Use `list_video_library` to grab your full list and then pass that data to your agent to filter by status or playlist.

The server uses endpoint tokens for authentication. Your video metadata and performance stats never leave the secure tunnel between your agent and the EX.CO API.

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