SproutVideo MCP for AI. Manage your entire video library from a chat prompt.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
SproutVideo MCP Server manages video hosting, playlists, and analytics for any AI agent. Use it to list all videos, update metadata programmatically, track engagement stats, or delete old assets without opening a browser.
It's full content management control through natural conversation.
What your AI can do
Create playlist
Creates a new video playlist collection in your account.
Get account
Retrieves overall usage data and current account limits for tracking overhead.
Get playlist
Fetches detailed information about a specific video playlist, including its contents.
Retrieve a list of all videos, folders, or playlists in your SproutVideo account using list_videos or list_playlists.
Get detailed analytics for specific videos, including total plays and engagement rates, via the get_video_analytics tool.
Change a video's title, description, or tags without touching the web interface by running update_video_metadata.
Create new collections of videos with create_playlist, or retrieve details about existing groupings using get_playlist.
Understand your library structure by listing all available tags (list_video_tags) or retrieving folder structures (list_folders).
Ask an AI about this
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SproutVideo MCP Server: 11 Tools for Video Ops
Use these tools to programmatically list videos, track performance metrics, create playlists, and update assets directly from your chat client.
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 SproutVideo on VinkiusCreate Playlist
Creates a new video playlist collection in your account.
Get Account
Retrieves overall usage data and current account limits for tracking overhead.
Get Playlist
Fetches detailed information about a specific video playlist, including its contents.
Get Video Analytics
Pulls deep usage metrics for one video, like total plays and viewer retention data.
List Folders
Lists every organizational folder currently set up in your SproutVideo account...
Delete Video
Permanently removes a specified video asset from your library.
Get Video Details
Retrieves all stored information about a single video asset, including its file path and dimensions.
List Playlists
Retrieves a list of all existing video playlists you've created.
List Video Tags
Lists every unique tag used across your entire library, helping you map content...
List Videos
Retrieves a list of all videos hosted on the platform and their basic metadata.
Update Video Metadata
Changes the title, description, or tags for one or more specified video assets.
Security and governance baked right in.
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Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with SproutVideo, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SproutVideo. 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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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 connection provides 11 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Video asset management shouldn't feel like navigating a 17-tab dashboard.
Today, managing a video library means clicking through tabs: 'Analytics,' then 'Assets,' then selecting the right folder. If you want to change the description on twenty videos, you copy the text, paste it into the first video's field, hit save, repeat 20 times. It’s tedious and wastes half your day.
With this MCP Server, you talk to your agent. You tell it: 'Update the description for all videos tagged 'Q4 Promo' to include our new call-to-action.' The server executes the changes across twenty assets in seconds. Done.
SproutVideo MCP Server: Run deep video ops from your chat.
The ability to run `list_videos` and instantly get a clean list of IDs, or to use `get_video_analytics` without opening the platform's reporting dashboard, changes everything. It cuts out the clicks and the friction.
It’s not just about listing data; it's about automating the *process*. You treat your video library like an API, making complex content operations as simple as asking a question.
What your AI can actually do with this
SproutVideo MCP Server gives your AI agent full content management control over your video hosting account, letting you manage everything—playlists, analytics, and assets—without ever opening the browser. You'll handle your entire content pipeline using only chat prompts, keeping your workflow sharp and efficient.
Managing Your Content Library Structure
You need to know what's in there before you change a thing. To start an audit, run list_videos to get a basic list of every video asset hosted on the platform along with its initial metadata. If you want more depth on that specific video, use get_video_details; this pulls all stored information about a single file, including its precise dimensions and file path.
To map out your whole content structure, check what folders you've set up using list_folders. You can also run list_playlists to see every video grouping you’ve created. For cataloging purposes, use list_video_tags—this pulls a list of every unique tag used across all your videos, which helps you map out how your content is actually organized.
Analyzing Performance and Metadata
You don't want to guess if a video hit or missed. Run get_video_analytics on any specific asset; it gives you deep usage metrics like the total number of plays and detailed viewer retention data, so you know exactly where people drop off. When you need to fix something—say, someone misspelled the title or you grouped content under the wrong tag—you don't touch a GUI.
You simply use update_video_metadata to change the title, description, or tags for one or several specific video assets in bulk.
Building and Organizing Playlists
Keep your content curated. To start grouping videos, run create_playlist; this builds an entirely new collection of videos you can assign to a campaign. If you need to see what playlists already exist, use list_playlists. To check the contents of a specific group or get all the details about one playlist, call get_playlist.
This tells your agent exactly which assets belong in that grouping.
Maintenance and Account Health
When you're done with an asset, don't just ignore it. You can permanently remove old or redundant videos using delete_video, taking the asset right out of your library. For keeping tabs on overhead, run get_account; this pulls all your overall usage data and shows you what your current account limits are.
These tools let you maintain complete control over every video, tag, folder, and playlist in SproutVideo, doing it all through natural conversation with your AI client.
019dd166-8651-714a-9a9f-42ee152fe761 Here's how it actually works
The bottom line is: your AI client runs video ops directly against your SproutVideo account, giving you programmatic control over content management tasks.
Subscribe to the SproutVideo server and provide it with your API Key from your SproutVideo account settings.
Point your AI client (Claude, Cursor, etc.) at this MCP Server endpoint. It authenticates your connection.
Tell your agent exactly what you want—e.g., 'List all videos tagged 'Product Demo''—and the server executes the necessary tools.
Who is this actually for?
Content Managers and Digital Marketing Specialists who are sick of logging into a GUI just to perform repetitive data cleanup or reporting. This is for the person whose job requires them to manage hundreds of assets across multiple campaigns, needing quick, bulk actions that clicking through dashboards can't handle.
Runs list_videos and get_video_analytics weekly to build campaign reports, pulling data points like total plays or average watch time instantly.
Uses update_video_metadata across multiple assets. They need to change a product name in the description for 50 videos simultaneously without manually opening each one.
Employs create_playlist and list_playlists to group related raw footage or finished assets, ensuring a consistent content flow across different projects.
What Changes When You Connect
Stop manually updating titles. Use update_video_metadata to push bulk changes across dozens of videos instantly, keeping your SEO data consistent without opening the web GUI.
Get granular performance checks using get_video_analytics. You can query total plays and specific retention rates for any video—data you need for campaign reports.
Keep content organized with playlists. Use create_playlist to group top-performing videos, or run list_playlists to see what collections you already have set up.
Audit your library structure quickly. If you're unsure how tags are being used, run list_video_tags. It pulls out every tag in one command so you can find gaps in your content strategy.
Automate cleanup and maintenance. Need to delete old drafts? Use delete_video or check usage limits with get_account before running big operations.
See it in action
The Quarterly SEO Audit
A Content Manager needs to ensure every video asset has the current brand name in its description. Instead of logging into SproutVideo and manually editing 80 videos, they ask their agent: 'Run list_videos and then for all results, use update_video_metadata to change the descriptor to [New Brand Name].' The server handles the loop, saving hours.
Launching a New Campaign Series
A Digital Marketing Specialist has 15 new videos ready. They ask their agent: 'Create a playlist called 'Q3 Launch Assets' and add all videos tagged 'New Product'. Then, run get_playlist to confirm everything is grouped correctly.' The entire campaign setup happens in minutes.
Debugging Low Engagement
A Video Producer notices one video underperforms. They ask their agent: 'Run get_video_analytics on the ID 12345 video. I need to know the total plays, average engagement rate, and retention data.' The server immediately returns the stats needed for a strategic pivot.
Archiving Old Content
A team needs to clear out drafts older than 6 months. They ask their agent: 'List all videos tagged 'Draft' and run delete_video on any that haven't been accessed in a year.' The server executes the clean-up, preventing storage bloat.
The honest tradeoffs
Manual Bulk Editing
Trying to update 50 video descriptions one by one through the web GUI. This is slow and prone to copy/paste errors, especially with complex formatting.
Use the agent to run list_videos first, gather the IDs, then use update_video_metadata in a single command block. The AI handles the iteration.
Guessing Video Structure
Starting a new project and not knowing how to categorize assets or what tags are already available.
First, run list_video_tags. This gives you a complete inventory of existing tags. You can then use that list to plan your content structure before uploading anything.
Losing Track of Assets
A team member forgets if they created a playlist or where the original video files are located.
Run list_playlists and then get_playlist to pull up all existing collections. If you need details on an asset, use get_video_details.
When It Fits, When It Doesn't
Use this server if your workflow involves high-volume content operations—think bulk updates, reporting across dozens of assets, or structured archival. The moment a task requires iterating over multiple videos or playlists, you should be using the MCP Server. Don't use it just to watch a video; for simple viewing or basic uploads, stick to the native SproutVideo web UI. If your only goal is listing all available tags, this server works perfectly (list_video_tags). But if you are trying to build a complex content strategy that requires human review of aesthetics, an agent isn't replacing your judgment—it's just handling the tedious data grunt work.
Questions you might have
How do I check my video usage limits using `get_account`? +
You call the get_account tool. It retrieves your current account information and shows you exactly what your usage is versus any set limits. This helps prevent unexpected service interruptions.
Can I bulk update titles using `update_video_metadata`? +
Yes, that's one of its core jobs. You can specify a list of video IDs and provide the new title for all of them in a single request.
What does the `get_video_analytics` tool return? +
It returns specific performance data for one video, including total plays, engagement percentage, and crucial viewer retention metrics. You'll get the hard numbers you need for reports.
How do I find all available tags with `list_video_tags`? +
You simply call list_video_tags. It returns a complete list of every tag used across your entire SproutVideo library, helping you audit your content structure.
If I run `get_account` and my API key fails, how does the agent handle the error? +
The system returns a specific 401 authentication failure code. You simply need to update your SproutVideo API key within Vinkius settings for the agent to connect properly.
When I use `create_playlist`, what information must I provide to ensure it works? +
You must supply a name and either a description or at least one video ID. The agent validates these required fields before the playlist is actually created.
Does running `delete_video` check if other playlists still reference that file? +
Yes, the tool checks for internal dependencies first. If another playlist points to the video you want gone, it warns you instead of executing the deletion.
Beyond basic metadata, what extra data does `get_video_details` return? +
It provides deep specs like the full resolution format, original upload date, and internal folder ID. This gives complete context for archiving or migration tasks.
Can I list all my hosted videos using my AI agent? +
Yes! Use the list_videos tool to retrieve a comprehensive list of all videos currently hosted in your account.
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