How to Use the Tolstoy MCP in Claude

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

It's simple. Your agent uses the listvideos tool to pull a full inventory of all your uploaded Tolstoy content. This gives you an immediate overview of everything currently live.

Q: Can I upload videos using Tolstoy and Claude Desktop?

Absolutely. The uploadvideo function lets your agent take a new video file and push it to the platform for use in interactive funnels. It handles the whole transfer process.

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

The listinteractiveprojects tool shows every single shoppable video project set up in Tolstoy. You'll see all the unique funnels visitors can choose paths through.

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

Yes, you use listwebhooks. This tool checks which external services are currently connected to your Tolstoy setup so nothing breaks when you make changes.

Build shoppable video funnels for Claude Desktop. Control your ecommerce content directly.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Tolstoy MCP to Claude Desktop

Create your Vinkius account to connect Tolstoy to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Tolstoy with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Video Assets with the MCP Server

Use `upload_video` to push new product videos straight into Tolstoy's platform. You can also list existing media using `list_videos`, keeping track of every piece you upload. Need to know what folders are available? Just call `list_folders`. This gives your agent immediate visibility into the entire video structure.

Track Performance Metrics for Claude Desktop

Get performance data directly by invoking `get_video_analytics`. The tool returns detailed metrics, letting you see exactly where visitors drop off in your shoppable funnels. If you need to check out what paths are possible, run `list_interactive_projects`. It shows all the interactive video projects available for embed.

Configure and Monitor Webhooks

`list_webhooks` lets your agent show you every configured webhook. This is key for knowing which external systems are tied into Tolstoy's funnels. Want to automate something else? You can check the status of all available webhooks with `list_webhooks`.

Setup guide

Set up Tolstoy MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Tolstoy MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Tolstoy MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under tolstoy-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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Tolstoy 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 Tolstoy MCP in Claude Desktop

It's simple. Your agent uses the `list_videos` tool to pull a full inventory of all your uploaded Tolstoy content. This gives you an immediate overview of everything currently live.

Absolutely. The `upload_video` function lets your agent take a new video file and push it to the platform for use in interactive funnels. It handles the whole transfer process.

The `list_interactive_projects` tool shows every single shoppable video project set up in Tolstoy. You'll see all the unique funnels visitors can choose paths through.

Yes, you use `list_webhooks`. This tool checks which external services are currently connected to your Tolstoy setup so nothing breaks when you make changes.

This server primarily handles video assets and their associated metadata. Specifically, it touches the `video analytics` data type when running performance checks.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript