How to Use the Tolstoy MCP in VS Code Copilot

Q: How do I list my videos using Tolstoy and VS Code Copilot?

The team commits to using listvideos in the shared configuration. This ensures every developer has immediate visibility into all available video assets.

Q: Can I upload videos using Tolstoy and VS Code Copilot?

Yes, through the MCP Server setup, the team can trigger uploadvideo. This keeps content management visible in your shared codebase.

Q: What is the scope of listing projects with Tolstoy and VS Code Copilot?

The tool runs listinteractiveprojects to show all shoppable funnel configurations. This helps ensure consistency across development branches.

Q: Does the MCP Server support listing webhooks for Tolstoy and VS Code Copilot?

It does. The team uses listwebhooks to audit connectivity, guaranteeing that any new video deployment triggers the expected events.

Build shoppable video funnels for VS Code Copilot. Standardize Tolstoy integrations across the entire engineering team.

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Connect Tolstoy MCP to VS Code Copilot

Create your Vinkius account to connect Tolstoy to VS Code Copilot 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 VS Code Copilot

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Centralized Video Asset Management (MCP Server)

The `upload_video` tool lets your whole team manage content by uploading new videos directly through the repository's configuration. You can then use `list_videos` to verify the presence of every asset. Developers rely on `list_folders` to understand the required directory structure for video storage.

Review Funnel Status with VS Code Copilot

The team can check existing funnels by running `list_interactive_projects`. This provides a standardized view of all shoppable paths built in Tolstoy. Furthermore, using `get_video_analytics` gives everyone access to the performance metrics needed for QA testing.

Audit Webhook Connections with MCP Server

`list_webhooks` makes sure that all integrated systems are connected correctly. It lists every active webhook, preventing deployment errors across the organization. This tool complements `list_videos`, giving you both the source content list and the distribution mechanism.

Setup guide

Set up Tolstoy MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Tolstoy MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Tolstoy tools listed. Try asking: "List my recent Tolstoy transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Tolstoy MCP in VS Code Copilot

The team commits to using `list_videos` in the shared configuration. This ensures every developer has immediate visibility into all available video assets.

Yes, through the MCP Server setup, the team can trigger `upload_video`. This keeps content management visible in your shared codebase.

The tool runs `list_interactive_projects` to show all shoppable funnel configurations. This helps ensure consistency across development branches.

It does. The team uses `list_webhooks` to audit connectivity, guaranteeing that any new video deployment triggers the expected events.

The server touches two types of information: the actual video files and the resulting `video analytics`. Accessing both requires proper authentication.

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