How to Use the Tolstoy MCP in Cursor

Q: How do I list my videos using Tolstoy and Cursor?

You just ask the agent to run listvideos. It fetches a live JSON array of your current video assets, which you can then use directly in your code's variables.

Q: Can I upload videos using Tolstoy and Cursor?

Yep. The uploadvideo tool handles the file transfer and registers the new video with Tolstoy. You write the integration logic around that live response.

Q: What is the scope of listing projects with Tolstoy and Cursor?

The agent runs listinteractiveprojects. This returns a list detailing every shoppable funnel created in Tolstoy, allowing you to build code paths for them.

Q: Does the MCP Server support listing webhooks for Tolstoy and Cursor?

It does. Using listwebhooks shows all configured endpoints. This is critical when writing code that needs to react to video events.

Build shoppable video funnels for Cursor. Inject live Tolstoy API responses right into your code editor.

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Connect Tolstoy MCP to Cursor

Create your Vinkius account to connect Tolstoy to Cursor 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 Cursor

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Inject Live Video Data via MCP Server

When you run `get_video_analytics`, the agent returns raw, live performance metrics that you can immediately use in your codebase. You don't get mock data; you get real numbers. Need a list of available media? The `list_videos` tool gives you an array of all Tolstoy video records right where you're coding.

Manage Video Content with Cursor

`upload_video` allows the AI to handle file uploads and integrate them into your project context. You can then use `list_folders` to map out exactly where those videos need to live. It’s great for initial setup; you call `list_interactive_projects` first just to see what kind of funnels are already built.

Monitor Project Status using MCP Server

To know everything that's configured, run `list_webhooks`. This shows the current state of your webhooks without you leaving your editor. You can also check what video funnels are available by calling `list_interactive_projects`. This gives deep context for building robust integration code.

Setup guide

Set up Tolstoy MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Tolstoy MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Tolstoy transactions." If the MCP tools are loaded correctly, Cursor will call the Tolstoy tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "tolstoy-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Cursor

You just ask the agent to run `list_videos`. It fetches a live JSON array of your current video assets, which you can then use directly in your code's variables.

Yep. The `upload_video` tool handles the file transfer and registers the new video with Tolstoy. You write the integration logic around that live response.

The agent runs `list_interactive_projects`. This returns a list detailing every shoppable funnel created in Tolstoy, allowing you to build code paths for them.

It does. Using `list_webhooks` shows all configured endpoints. This is critical when writing code that needs to react to video events.

This server touches two main data types: the raw video files themselves and `video analytics`. The AI agent handles both of these outputs.

Use it with your favorite AI tools

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

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