ContentGroove MCP. Slice long videos into social-ready clips.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
ContentGroove. Use this MCP Server to generate video highlights, splice long-form clips, and manage video projects directly through your AI agent.
It lets you pull engaging, bite-sized content from massive podcasts or keynote speeches, handling the whole process from upload to metadata extraction.
You control the clip length, target specific topics, and keep everything synced in your chat workspace.
What your AI agents can do
Create direct upload
Creates a signed URL that allows you to upload a video file directly to ContentGroove.
Create media from url
Imports a video from a public URL to start the process of generating AI-powered highlights.
Get clip details
Retrieves detailed information about one specific highlight clip.
The agent retrieves a list of all video projects managed by ContentGroove.
The agent determines the current rendering status of a specific media project.
The agent imports a video from a given URL to begin the process of generating AI highlights.
The agent generates a signed URL, allowing you to upload the source video directly to ContentGroove.
The agent lists all the highlight clips that have been created across all your projects.
The agent retrieves detailed information about a single, specific highlight clip.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
ContentGroove MCP Server: 8 Tools for Video Media Ops
These tools allow your AI agent to manage the entire lifecycle of video content, from initial upload and status tracking to generating and listing final highlight clips.
019d757acreate direct upload
Creates a signed URL that allows you to upload a video file directly to ContentGroove.
019d757acreate media from url
Imports a video from a public URL to start the process of generating AI-powered highlights.
019d757aget clip details
Retrieves detailed information about one specific highlight clip.
019d757aget media clips
Lists all the automatically generated highlight clips for a given video project.
019d757aget media details
Retrieves metadata and details for a specific media project.
019d757aget media status
Checks the current rendering or processing status of a media project.
019d757alist all clips
Lists all the highlight clips that have been generated across all your projects.
019d757alist media
Retrieves a list of all media projects stored in ContentGroove.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
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
- Create Agent Skills with progressive disclosure
- 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 ContentGroove, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Yo, if you're dealing with video, this is your deal. ContentGroove lets your AI agent chew through big videos and spit out highlight reels. You can pull engaging, bite-sized content from massive podcasts or keynote speeches, all without leaving your chat. It handles everything from uploading the source material to pulling the metadata.
Here's what you can make your agent do:
- Start a Project: Your agent can list all the media projects you've got going on.
- Manage Projects: You can check the current rendering status of any specific media project. You can also pull a list of every single media project stored in ContentGroove.
- Get Clips: Your agent can list every highlight clip generated across all your projects, or it can get a list of all the automatically generated highlight clips for a given project. You can also ask it to get detailed information about one specific highlight clip.
- Get Media Info: It'll grab the metadata and details for any specific media project. You'll also get a list of all media projects stored in ContentGroove.
- Feed the Video: You can start processing a video by giving your agent a public URL, which imports it to begin generating AI highlights. You can also get a signed URL from your agent, letting you upload the source video directly to ContentGroove.
Basically, your agent can list all media projects, check a project's processing status, import and process video from a URL, upload video via a direct link, list all generated clips, and get metadata for a specific clip.
How ContentGroove MCP Works
- 1 Install the ContentGroove integration into your AI platform and authorize it with an API Key.
- 2 Your AI client sends a text prompt specifying the video source (URL or direct upload) and the desired clip parameters.
- 3 The ContentGroove tools execute the processing, and your AI client receives the resulting clips, status updates, and extracted transcripts directly in the chat.
The bottom line is, you talk to your AI client, and it handles the video processing commands to get the clips and transcripts.
Who Is ContentGroove MCP For?
Social media managers need this when they have a mountain of long-form content (keynotes, podcasts) and need dozens of short, viral clips for multiple platforms. Content editors use it to instantly review and extract transcripts that match the visual segments. Event marketers rely on it to turn hours of recorded speeches into immediate, sellable marketing assets.
Slices a weekly podcast into 10-15 independent clips using precise text requests, scheduling them for immediate posting.
Reviews auto-parsed text captions that overlap visual snippets, ensuring the marketing pipeline has accurate source transcripts before deployment.
Feeds a keynote event recording and commands the AI to extract the top 2-minute segments immediately for press kits.
What Changes When You Connect
- Stop manually cutting videos. ContentGroove handles the entire workflow: from uploading the source file (using
create_direct_uploadorcreate_media_from_url) to automatically slicing it into dozens of themed, bite-sized clips. - Keep track of everything with simple commands. Use
list_mediato see all your active projects andget_media_statusto confirm when a render job is finished. No more guessing if the video is ready. - Review and share metadata instantly. When clips are generated, the system pulls synced subtitles and metadata directly into your chat, so you don't have to jump to a separate transcription service.
- Manage clips across multiple sources. If you need to see everything generated so far, run
list_all_clipsto get a master list of every highlight moment across all your projects. - Target specific moments. You don't just get random cuts. You can instruct the agent to find the '5 most engaging viral slices' from a project using natural language prompts.
- Deep dive into assets. Need to know exactly what a specific clip is? Use
get_clip_detailsto pull all the metadata, duration, and source points for that single highlight.
Real-World Use Cases
Need to repurpose a 2-hour conference talk.
The event marketer has a massive, raw video file from a keynote. They ask their agent to run the video through ContentGroove. The agent uses create_media_from_url and then instructs the system to find 10 segments, each under 3 minutes, focused on 'AI implementation.' The agent then provides the direct links and the full transcript for review.
Launching a new product and needing immediate social content.
The social media manager uploads the raw product launch video via create_direct_upload. They then prompt the agent to 'find the three most actionable tips from the first half.' ContentGroove processes the video and returns 3 distinct, ready-to-use clips, saving hours of manual editing.
Maintaining a podcast series with inconsistent content.
A podcast producer wants to check the status of their last 5 weekly episodes. They use list_media to see all project titles. Then, they run get_media_status on the specific project ID to confirm if the rendering is complete before telling their AI agent to pull the final clips.
Checking if a specific clip exists in a large archive.
A content editor needs to confirm if a specific highlight clip they saw last week is ready. Instead of guessing, they use list_all_clips to get a list of all generated clips and then get_clip_details to verify the exact metadata and availability of the target asset.
The Tradeoffs
Trying to guess the right tool
A developer might try to manually combine list_media and get_media_details repeatedly, checking project status by running get_media_details multiple times until the status changes. This is slow and brittle.
→
The agent handles the orchestration. First, use list_media to find the project ID. Then, send a single prompt to the AI client: 'Check the status of project ID [ID].' The AI client manages the sequence and the required calls like get_media_status.
Uploading massive files without a plan
Attempting to upload a 10GB video directly via a general API endpoint without first getting the correct upload mechanism, which causes timeouts and data loss.
→
Always start by calling create_direct_upload to get a signed URL. This is the correct way to handle large files, ensuring secure, dedicated upload channels for the source video.
Forgetting the clip context
Asking the agent to 'get highlights' without specifying what or where. The system might return thousands of generic clips, making them useless for the current campaign.
→
Be specific in your prompt. Tell the agent to 'Extract the 5 most engaging viral slices from project [ID] for a social media campaign.' This directs the system to use tools like get_media_clips with specific filtering criteria.
When It Fits, When It Doesn't
Use this MCP Server if your core need is turning long, unstructured video footage into structured, usable, and searchable content assets. It's perfect for content pipelines where the output (clips, transcripts) is the primary goal. Don't use it if your workflow is purely about live video streaming or real-time camera feeds; those require different tools. If you only need to list basic file names without checking the processing state, simple file storage APIs are enough. But if you need the state machine—the ability to check status (get_media_status) and then extract derived assets (get_media_clips)—then ContentGroove is what you need.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ContentGroove. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually pulling highlights from long videos is a time sink.
Today, if you have a two-hour podcast, you open the video, scrub through it manually, take notes on the timestamps of good moments, and then copy those timestamps into a separate video editor. You repeat this process for every platform and every key talking point. It's slow, tedious, and requires a full-time video editor.
With ContentGroove, you just give your AI agent the video and a prompt. It handles the whole job. It automatically slices the footage, pulls the transcript, and gives you the finished clips and metadata, all in the chat. You don't touch an editor; you just review the results.
ContentGroove MCP Server: Video Ops from Chat
You eliminate the need to switch between a video management system, a transcript generator, and a cloud storage service. Your agent calls `create_media_from_url` or `create_direct_upload`, and the system manages the entire state machine in the background. You just get the final result in the chat.
The difference is control. You move from being a manual coordinator of 4 different services to being the director of a single, integrated pipeline. You talk to your agent, and it runs the necessary tools and gives you the finished product.
Common Questions About ContentGroove MCP
How do I use the ContentGroove MCP Server to start processing a video? +
You start by telling your agent to process the video. You can provide a URL using create_media_from_url or upload a file directly using create_direct_upload. The agent handles the initial processing queue.
What tool do I use to check if my video clips are ready? +
Use get_media_status with the project ID. This tool tells you the current rendering percentage. Once it's complete, you can then use get_media_clips to list the final highlights.
Can I see every single clip I've ever generated? +
Yes, run list_all_clips. This tool compiles a list of every highlight moment across all your content projects for quick review.
How do I get the transcript for a specific clip? +
First, you need the clip ID. Then, ask the agent to use get_clip_details. The resulting metadata includes the auto-transcribed subtitles for that specific segment.
Does ContentGroove require a specific file type for `create_direct_upload`? +
The tool accepts video files for processing. Your prompt should specify the source and the required output format (e.g., 'Find 5 clips, 16:9 ratio').
How do I check the status of a media job using the `get_media_status` tool? +
You use get_media_status with the media ID. This tool confirms if a project is currently processing, failed, or complete. It gives you the precise percentage and status updates on the rendering process.
What's the best way to start a new media project using the `list_media` tool? +
You first use list_media to see all existing projects and identify the required project ID. Then, you can use the appropriate upload tool (like create_direct_upload) to initiate the new media asset.
If I run into issues, how do I check what clips are available using the `list_all_clips` tool? +
Run list_all_clips to get a comprehensive list of every AI-generated clip. This list includes metadata and links, letting you confirm which clips are ready for review or download.
How do I generate an API Key inside ContentGroove? +
Log into your active ContentGroove dashboard. Navigate to the Settings menu. From there, locate the section labeled API Keys and click 'Generate'. Securely copy the resulting string to connect your AI.
Does AI video processing incur additional costs on ContentGroove? +
Every operation routed through the AI integration relies on your base ContentGroove tier limits. AI-invoked splicing acts as standard manual generation costs; ensure constraints are observed so you stay within your processing credits limit.
Can I publish video clips straight from the integration? +
No, this integration strictly isolates the video editing capabilities and project listing utilities. To post on major platforms directly from chat, ensure you link subsequent social network MCP integrations into your workflow.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Strava Planning
Plan routes, export GPX/TCX, create activities, manage gear, and star segments on Strava.
15Five
Empower performance management with 15Five — manage check-ins, high fives, objectives, and team feedback directly from your AI agent.
Eventbrite Alternative
Manage your Eventbrite events — audit organizations, attendees, and orders via AI.
You might also like
Front
Manage shared inboxes, track conversations, and collaborate on emails via AI agents with Front.
BrandMentions
Monitor social listening and brand mentions via BrandMentions — track keywords, manage projects, and list influencers directly from any AI agent.
Open Emoji API
Access emoji data — audit characters, names, and categories via AI.