Tolstoy MCP. Manage shoppable video funnels with chat commands.
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Tolstoy connects your AI agent directly to interactive video experiences. Build and manage full shoppable video funnels—from uploading raw media assets to tracking conversion rates and revenue impact through natural conversation.
Use this server to list videos, query analytics, check project statuses, and organize your entire library without leaving your chat window.
What your AI agents can do
Get video analytics
Pulls detailed performance metrics like play counts and conversion rates for your videos.
List folders
Lists the top-level folder structure where your video assets are stored.
List interactive projects
Provides a list of all configured, branching video funnels you've built in Tolstoy.
Retrieves metrics on plays, conversion rates, and revenue impact for specific videos.
Lists all configured branching video projects (funnels) you've set up in Tolstoy.
Shows the entire catalog of uploaded videos or lists specific folders to organize your media assets.
Uploads a new video asset to Tolstoy from an external URL for use in funnels.
Verifies which real-time notification endpoints are currently active and configured.
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Supported MCP Clients
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Tolstoy: 6 Tools for E-commerce Video Ops
These tools give your AI client control over every aspect of your video asset lifecycle—from uploading new content to calculating revenue impact.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Tolstoy on Vinkius019dd177get video analytics
Pulls detailed performance metrics like play counts and conversion rates for your videos.
019dd177list folders
Lists the top-level folder structure where your video assets are stored.
019dd177list interactive projects
Provides a list of all configured, branching video funnels you've built in Tolstoy.
019dd177list videos
Fetches a comprehensive catalog view of every single video asset uploaded to your library.
019dd177list webhooks
Displays which real-time notification endpoints are currently set up and active in Tolstoy.
019dd177upload video
Imports a new video file from an external URL directly into your Tolstoy media library.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Managing video assets used to be a dumpster fire of logins and dashboards.
Today, running simple video performance checks means jumping between three places: the Tolstoy dashboard for raw metrics, Google Analytics for traffic data, and your CRM for revenue tracking. You end up manually copying play counts here, conversion rates there, and pasting a summary into an email—a process that takes half a day.
With this MCP server, you ask your agent to get a performance summary. It runs `get_video_analytics`, pulls the data, and synthesizes it all in one response. You get the insight instantly, without touching a dashboard or copy-pasting a single number.
Tolstoy MCP Server: Manage your video ops from chat.
Before this, listing out all of your active funnels meant navigating complex UI menus and clicking through multiple asset groups to verify project IDs. If you needed to know if a webhook was configured correctly for immediate post-purchase tracking, it required digging deep into settings pages.
Now, simply ask the agent to `list_interactive_projects` or run `list_webhooks`. It gives you the actionable status code immediately. The entire system is exposed as simple commands to your AI client.
What you can do with this MCP connector
Listen up. This server connects your AI agent straight into Tolstoy, letting you run full-blown shoppable video funnels and manage massive media libraries right from your chat window. You don't have to jump between dashboards; your agent handles everything conversationally.
Managing Your Video Funnels
You can list all the interactive projects with list_interactive_projects. This tool gives you a rundown of every branching video funnel you’ve set up—the whole pipeline, not just one clip. You're controlling complex decision paths here.
Handling Assets and Media Organization
To keep your content organized, your agent uses list_folders to map out the entire top-level folder structure of your video assets. Need a full view? Call list_videos, and you get a complete catalog listing every single video uploaded to your library. If you need more media, your agent imports it directly using upload_video, pulling new video files from an external URL straight into the Tolstoy system.
Tracking Performance and Status
To know if your funnels are actually making money, call get_video_analytics. This pulls detailed performance metrics on specific videos, giving you plays counts, conversion rates, and total revenue impact. It’s how you measure success. You can verify which real-time notification endpoints are active and configured by running list_webhooks; this confirms your e-commerce system is connected for immediate alerts.
It's all about control. Your agent uses these tools to list videos, manage entire funnels, upload new assets, check project statuses, query analytics, and organize the whole damn library—all without leaving your chat client.
019dd177-81ea-713d-bbba-80f2172f2181 
How Tolstoy MCP Works
- 1 Subscribe to the Tolstoy server on Vinkius.
- 2 Enter your API Key into your AI client's settings.
- 3 Ask your agent a natural language command, like 'Show me the conversion rate for my latest product video,' and it runs the necessary tool call.
The bottom line is: you treat complex media management tasks—like checking analytics or listing assets—as simple conversations with your AI client.
Who Is Tolstoy MCP For?
This is for the Digital Marketing Ops Engineer who gets tired of switching between the Tolstoy dashboard, Google Analytics, and the CRM just to answer one question. It’s also for the E-commerce Owner who needs immediate visibility into video revenue impact without logging into a dozen platforms.
Checks get_video_analytics immediately after running an ad campaign to see if the shoppable videos are converting.
Uses list_interactive_projects and list_videos to audit existing funnels and plan out new paths for upcoming campaigns.
Manages the technical side, using list_webhooks to ensure real-time data feeds are active or calling upload_video via automation scripts.
What Changes When You Connect
- Get instant performance data. Instead of jumping into the analytics dashboard, ask your agent to run
get_video_analyticsand get an immediate summary of plays and conversion rates. - Maintain a clean asset structure. Use
list_foldersorlist_videosto see everything in one command, instantly knowing where every piece of media lives without clicking through the UI. - Audit your funnels quickly. Run
list_interactive_projectswhen you need to know how many branching paths exist and what they are called—no navigating menus required. - Scale content effortlessly. You can use
upload_videoto import new videos from a URL, letting the agent handle the media ingestion so your team doesn't get bogged down in manual uploads. - Verify system connections instantly. Use
list_webhooksto confirm that Tolstoy is sending real-time notifications to your e-commerce backend when needed.
Real-World Use Cases
Checking post-campaign performance
The E-commerce Manager needs to know if the 'Summer Sale' video funnel worked. They ask their agent, and the agent runs get_video_analytics. The resulting data summary shows a conversion rate of 12% for that specific project, allowing immediate action without manual reporting.
Onboarding new assets
A Content Creator finishes a product walkthrough video. Instead of logging into the Tolstoy dashboard, they simply prompt their agent to upload_video using the external link and name it 'Product Walkthrough V3'. The asset is immediately available for use.
Reviewing funnel structure
The Marketing Manager needs to know if there are any outdated or forgotten video funnels. They ask their agent to list_interactive_projects. The agent returns a list, allowing the manager to spot and decommission old paths efficiently.
Ensuring data flow is live
The Ops Engineer suspects that real-time purchase events aren't being logged. They prompt their agent to run list_webhooks. The agent confirms the webhook is active, or flags it if a configuration change broke the connection.
The Tradeoffs
Treating it like simple file storage
Attempting to use Tolstoy just for basic photo albums or PDFs. You run list_folders but only get static files back.
→
Tolstoy is built for interactive, shoppable video funnels. Use this server when your content's value depends on tracking user path choices and conversion rates via tools like get_video_analytics.
Forgetting the necessary API key
The agent fails with an 'Unauthorized' error because the required Tolstoy API Key wasn't entered into the MCP client settings.
→
Always verify your credentials first. Check that your API Key is correctly configured in your AI client before running any tool, especially upload_video.
Mixing up assets and funnels
Asking the agent to list a 'project' when you actually meant to see the individual videos used within it. The response is confusing.
→
If you need the flow diagram, use list_interactive_projects. If you just need the raw media names, use list_videos.
When It Fits, When It Doesn't
Use this server if your core business process involves creating video content where user choice (the path they take through the video) and conversion tracking are paramount. It’s built for e-commerce funnels. Don't use it if you just need simple file storage or basic messaging—use a dedicated cloud object store instead. You must use this server when your workflow requires checking performance metrics (get_video_analytics) or managing complex, branching video projects (list_interactive_projects). If all you need is to upload videos and nothing else, the tool set still works, but you're missing out on the critical conversion data it provides.
Common Questions About Tolstoy MCP
How do I check video analytics with Tolstoy MCP Server? +
You use get_video_analytics. Simply tell your agent you need the performance metrics for a specific campaign, and it retrieves plays, conversion rates, and revenue data.
What is the best way to list videos in my Tolstoy library? +
Use list_videos when you want a complete catalog of all assets. If you only want to see what folders are available for organization, run list_folders instead.
How do I upload a new video using the Tolstoy MCP Server? +
You trigger the upload_video tool. You just need to provide an external URL and a name; the agent handles importing it into your library for funnels.
Can I check if my webhooks are working with list_webhooks? +
Yes, list_webhooks confirms which notification endpoints are configured. This is crucial to make sure real-time data flows back to your e-commerce system.
How does the `list_folders` tool help me organize my video assets? +
It lists all defined folders within your Tolstoy account. This lets you see how your marketing assets are structured, helping you keep track of different campaign groups or content types.
What is the purpose of `list_interactive_projects` in my workflow? +
This tool retrieves a list of all your branching video flows and interactive experiences. You can use this to query, manage, and confirm which complex projects are active in your account.
What credentials do I need to connect the Tolstoy MCP Server? +
You must provide a valid Tolstoy API Key. This key is found in your account settings and authorizes your AI client agent to interact with your video data.
How can I get a full view of my stored media using the available tools? +
You combine list_folders and list_videos. First, use list folders to understand the structure. Then, you can list specific videos within those organized groups for a complete asset overview.
Can I see the conversion rate for my interactive videos via AI? +
Yes! Use the get_video_analytics tool. Your agent will retrieve detailed performance metrics, including plays and the percentage of users who converted through the interactive elements.
How do I import a new video into my library using the AI? +
Use the upload_video action and provide the public URL of the video file. You can also specify an optional name for the video in your Tolstoy library.
Is it possible to list all my branching video projects? +
Absolutely. Use the list_interactive_projects tool to retrieve a directory of all your interactive flows and branching video experiences.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.