Mux MCP. Manage video assets and live stream data in conversation.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Mux connects your AI client to your video infrastructure. It lets you manage assets, monitor live streams, and pull analytics directly from Mux without opening a dashboard.
You can create new assets using just a public URL or set up secure upload sessions for large files. This tool gives your agent full control over your entire media workflow.
What your AI agents can do
Create asset
Starts the process of making a new video asset from a provided source URL.
Create direct upload
Generates temporary, secure credentials for uploading large video files directly to Mux storage.
Create live stream
Sets up and configures a new live streaming session in the Mux platform.
The agent retrieves a list of every existing Mux video asset, detailing their current status and metadata.
You provide a public URL for source material, and the server initiates the creation process for a brand-new video asset in Mux.
The agent can monitor all active or planned live stream configurations and their associated operational status.
It creates temporary, secure endpoints for uploading large video files directly to Mux storage.
The server pulls recent viewing data and performance metrics for your video content.
You supply a specific Asset ID, and the agent returns all associated deep metadata, ensuring you have every detail about that single file.
Ask AI about this MCP
Supported MCP Clients
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Mux MCP Server: 11 Tools for Video Ops
Use these eleven tools to control every step of your video workflow—from asset creation and live stream setup to performance analytics.
019d75d9create asset
Starts the process of making a new video asset from a provided source URL.
019d75d9create direct upload
Generates temporary, secure credentials for uploading large video files directly to Mux storage.
019d75d9create live stream
Sets up and configures a new live streaming session in the Mux platform.
019d75d9delete asset
Removes an existing video asset from your Mux account.
019d75d9delete live stream
Decommissions and deletes a configured live stream session.
019d75d9get asset
Retrieves all metadata and the current status for one specific video asset ID.
019d75d9get live stream
Pulls detailed information about a single live stream configuration.
019d75d9get recent views
Calculates and returns recent viewing metrics, showing how many people watched the content recently.
019d75d9list assets
Provides a summary list of all your video assets, including their status and IDs.
019d75d9list direct uploads
Lists recent or configured direct upload sessions you've set up.
019d75d9list live streams
Shows a summary list of all live streams currently managed by your account.
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 Mux, 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
Listen up. This server connects your AI client straight into Mux, letting you handle your whole video pipeline without ever having to log into a dashboard. It gives your agent full control over everything—asset creation, live stream management, and pulling performance data directly. You're not just looking at reports; you’re running the show.
Asset Management & Status Checks
Need to know what videos you got? The list_assets tool gives you a summary list of every single video asset in your account, detailing their current status and unique IDs. If you need deep details on one file, just run get_asset. That pulls all the metadata and the precise status for that specific Asset ID.
Want to see everything you've set up? The list_direct_uploads tool shows you recent or configured direct upload sessions. You can also check what live streams are running with list_live_streams, which gives a summary of every managed stream configuration. If you need the deep dive on a single stream, use get_live_stream to pull all its operational information.
Creating and Uploading Content
You gotta make content? Use create_asset. You just feed it a public URL for your source material, and the server kicks off the entire creation process for a brand-new asset in Mux. For massive files—the kind that kill standard API calls—you use create_direct_upload. This tool generates temporary, secure credentials. It lets you upload those huge video assets directly to Mux storage.
Live Streaming Workflows
Setting up a stream is simple. The create_live_stream tool sets up and configures an entirely new live streaming session in the platform. If that stream is done, or needs decommissioning, you use delete_live_stream to clean it up completely.
Monitoring and Cleanup
Need to get rid of a video? You run delete_asset, and it removes an existing video asset from your Mux account. If you need to wipe out a stream setup, the delete_live_stream tool handles that cleanup for you.
Performance Metrics and Deep Analytics
Tracking performance is critical. The get_recent_views tool calculates and returns recent viewing metrics. This tells you exactly how many people watched your content and gives you key performance indicators regarding usage. You can also get the complete metadata details for any asset using its ID, which is crucial whether you're debugging a playback issue or just scripting against specific file attributes.
How Mux MCP Works
- 1 First, subscribe to the Mux server and provide your required Mux Token ID and Secret credentials.
- 2 Next, tell your AI client what you want—for example, 'List all assets' or 'Create an asset from this URL.'
- 3 The agent executes the request, talks to the Mux API, and returns a formatted summary of the status (e.g., 'Asset ID X is 80% complete.')
The bottom line is you manage complex video operations using natural language commands instead of navigating multiple web dashboards.
Who Is Mux MCP For?
This server targets developers and content ops teams who spend too much time clicking through dashboard tabs to get basic status checks. If your job involves checking if a large video file finished processing or pulling view counts for a report, this tool saves you manual API calls and context switching.
Checks asset readiness. Instead of opening the Mux dashboard to see if 'asset-123' is done encoding, they ask their agent directly using get_asset.
Automates content pipelines. They use create_asset to build new video records immediately after uploading source material via a public URL.
Monitors stream health. They check current live configurations and status using list_live_streams or get_live_stream, especially during high-stakes broadcasts.
What Changes When You Connect
- Instant Status Checks: Don't wait for the Mux dashboard to load. Use
list_assetsorget_assetto check if a file is ready, processed, or stuck, getting immediate feedback directly from your agent. - Automated Asset Creation: Need to build content? Give the agent a public URL and run
create_asset. It handles the initial setup, letting you skip manual API calls for basic content ingestion. - Live Stream Health Monitoring: For broadcasters, use
list_live_streamsorget_live_streamto quickly verify configurations before going live. You see status updates without logging into a separate panel. - High-Volume Uploads, Zero Friction: Use
create_direct_uploadwhen you have massive source files. The agent generates the secure endpoint; all you do is upload and get confirmation. - Data-Driven Content Decisions: Stop guessing about performance. Run
get_recent_viewsto pull actual analytics showing viewer count, success rates, and activity trends for optimization.
Real-World Use Cases
Checking asset processing status.
A developer needs to know if a source video uploaded yesterday is finished encoding. Instead of refreshing the Mux dashboard every five minutes, they ask their agent, which runs get_asset with the specific ID. The agent confirms: 'The asset is ready for playback.' Problem solved in seconds.
Rapidly creating marketing assets.
A content team member has a raw video file online but needs it tracked as an official Mux asset immediately. They prompt their agent with the public URL and ask to create_asset. The agent handles the creation process, giving them a new Asset ID they can use for tracking.
Debugging live stream failures.
A broadcast team gets an alert that a live stream is failing. They prompt their agent to get_live_stream using the stream's unique ID. The agent instantly pulls the detailed metadata, allowing them to see if the issue is configuration-related or network-related.
Building a content audit report.
A manager needs to know how many videos are currently in the system and their status. They simply ask the agent to list_assets. The agent returns a categorized list, allowing them to see which assets need attention (e.g., '12 assets are pending review').
The Tradeoffs
Treating Mux as just file storage
Thinking that just uploading a video is enough, and you can check its status manually later. You might just try to 'get details' without knowing the full workflow.
→
Always use create_asset or create_direct_upload first. These tools are designed specifically to register the asset and track its lifecycle status within Mux, which is what you actually need.
Ignoring live stream setup.
Attempting to run a live broadcast without verifying the stream configuration first, leading to unexpected failure or dropped feeds.
→
Before going live, use list_live_streams and then get_live_stream to verify that every setting—from credentials to RTMP endpoint—is correct. This prevents costly failures.
Using generic data queries.
Asking for 'video performance' without specifying the time frame or metric, resulting in an ambiguous or empty report.
→
Always use get_recent_views and specify what you want (e.g., 'last 7 days,' 'country breakdown'). This makes sure your analytics are actionable.
When It Fits, When It Doesn't
Use this Mux MCP Server if your workflow requires tracking the state of video content, not just its existence. You need to know: Is it processing? Is it live? How many people saw it? If you only need simple file transfer (e.g., upload a ZIP archive that contains videos and never check them again), this server is overkill; standard cloud storage APIs will do. However, if you must manage the lifecycle—from source URL to final analytics report—this suite of tools provides the necessary deep integration point.
Don't use this if your only goal is basic file hosting. Use it when the metadata and status are as important as the media itself. The combination of list_assets, get_asset, and get_recent_views makes it mandatory for any team managing published video content.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mux. 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 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking video status shouldn't require logging into three different dashboards.
Today, if you need to know the status of a new video asset—did it finish encoding? Is the live stream running correctly?—you have to jump between the Mux dashboard, your analytics platform, and possibly a separate deployment tool. You manually check the list, copy an ID, paste it into another tab, and wait for refresh cycles.
With this MCP Server, you ask your agent directly: 'What's the status of asset-123?' The agent runs `get_asset` and gives you a clean answer in chat. You get the data immediately, eliminating three clicks and five minutes of context switching.
Mux MCP Server: Stream video ops from your chat window.
Manual processes involve separate steps for content creation, uploading, and monitoring. You have to manually run an upload job, then wait until the file is ready before you can even attempt to track its views or create a new asset record using that source material.
The agent handles the entire sequence. You use `create_asset` with a URL, and once it's done, you immediately ask for `get_recent_views`. The entire content pipeline is automated, controlled by conversation.
Common Questions About Mux MCP
How do I check if my video asset is finished using get_asset? +
Run get_asset with the specific Asset ID. The metadata will contain a 'status' field, telling you if it's 'ready,' 'processing,' or something else.
Can I list all my video assets using list_assets? +
Yes, list_assets fetches a summary of every asset in your account. This is useful for getting a quick count and knowing which IDs you need to track further.
What if I want to upload a huge file using create_direct_upload? +
Don't send the file through an API call. Use create_direct_upload first. It gives you temporary, secure credentials that let your client handle the large transfer safely.
How do I monitor a live stream after I create it with create_live_stream? +
After creating the stream, use get_live_stream and provide the unique ID. This fetches the most current configuration and operational status in one go.
Do I need to delete assets manually after using delete_asset? +
No. The server handles the full deletion process through the Mux API, removing both the asset record and associated metadata from your account.
How can I check my video performance data using get_recent_views? +
You call get_recent_views to pull analytics on your content's reach. It returns metrics like view counts and player success rates, letting you track how well your videos are performing over a set time period.
What tools do I have available for listing live streams using list_live_streams? +
The list_live_streams tool gives you an overview of all configured live feeds. You can use this to check the status and configurations of multiple active or archived broadcasts at once.
If I need detailed information, what does get_asset provide about a specific video asset? +
The get_asset tool pulls comprehensive metadata for any given video ID. This includes not just the status, but also full details like duration and playback IDs you might need for coding.
How do I create a Mux API Token? +
Go to the Mux Dashboard, navigate to Settings > API Tokens, and click 'Create new token'. Ensure you copy the Token Secret immediately as it will only be shown once.
What format should the asset URL be? +
The URL must be publicly accessible and point directly to a video file (e.g., MP4, MOV). Mux will then fetch and process the file from that location.
Is the analytics data real-time? +
Yes, the get_recent_views tool retrieves near real-time data about video views occurring in your account.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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