How to Use the Tolstoy MCP in Vercel AI SDK

Q: How do I search for Tolstoy video funnels using the Vercel AI SDK?

You use listinteractiveprojects to find all available shoppable video paths. The results stream right into your React component, letting you show the user where they can start.

Q: Can I list my videos for Tolstoy using Vercel AI SDK?

Yep. The listvideos tool lets your agent pull a current inventory of all your hosted videos. This is useful when you need to validate content before deployment.

Q: Does the MCP Server support viewing video analytics with Vercel AI SDK?

It does. Calling getvideoanalytics provides performance metrics on how well your shoppable funnels are performing. The data streams instantly, which is a huge time saver.

Q: How do I manage video folders with Tolstoy using Vercel AI SDK?

You call listfolders to get a complete directory map of your assets. This helps you organize and understand the structure behind all your interactive projects.

Build real-time video funnels with your AI client.

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Connect Tolstoy MCP to Vercel AI SDK

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

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Analyze Video Performance Metrics

The `get_video_analytics` tool pulls performance metrics for embedded videos. Your agent streams this data directly into the UI, so users see sales funnel results pop up instantly. This real-time feedback loop means you don't need a loading spinner; your client sees the analytics appear as the AI processes it.

Manage Shoppable Video Assets

Need to add new content? Just call `upload_video` and get the asset into Tolstoy. This tool handles getting new shoppable videos ready for your site's interactive funnels. You also use `list_videos` to confirm all existing video assets are uploaded and ready for display.

Track Video Funnel Changes

The `list_interactive_projects` tool shows you every active interactive project. You can quickly see which shoppable funnels need attention, like an old campaign or a new launch. It's also smart enough to list all associated video projects via `list_folders`, giving you a clear map of your content.

Setup guide

Set up Tolstoy 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 Tolstoy 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 Tolstoy 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 Tolstoy. 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 Tolstoy MCP in Vercel AI SDK

You use `list_interactive_projects` to find all available shoppable video paths. The results stream right into your React component, letting you show the user where they can start.

The server handles webhook configuration metadata and endpoint tokens. Your client accesses this via `list_webhooks` to see what triggers are currently active on the video funnel.

Yep. The `list_videos` tool lets your agent pull a current inventory of all your hosted videos. This is useful when you need to validate content before deployment.

It does. Calling `get_video_analytics` provides performance metrics on how well your shoppable funnels are performing. The data streams instantly, which is a huge time saver.

You call `list_folders` to get a complete directory map of your assets. This helps you organize and understand the structure behind all your interactive projects.

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