FileStack MCP. Analyze, Transform, and Process Media Files.
FileStack lets your AI agent handle complex media workflows end-to-end. Upload files from public URLs, extract text using OCR, analyze images for tags and safety status, generate optimized CDN links, or start video transcoding jobs—all through simple commands.
Give Claude and any AI agent real-world access
Detects objects and features within an uploaded image.
Pulls printed or handwritten text out of documents and images using OCR technology.
Determines if an image contains unsafe or inappropriate material.
Creates transformation URLs that allow resizing, blurring, or filtering of images without manual edits.
Starts and monitors background processes to convert videos into various web-ready formats.
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What AI agents can do with FileStack: Media Processing Tools (8 tools)
These tools let you perform specific media operations like checking metadata, extracting text, generating transformation links, and managing video conversion jobs.
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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 FileStack MCPGet Image Tags
Analyzes an image and returns a list of detected objects or features.
Get Metadata
Pulls deep technical details about a file, including its dimensions, size, and mime...
Get Ocr
Scans an image or document to pull out any visible printed or handwritten text.
Get Sfw Status
Checks whether uploaded content violates safety standards and is safe for public...
Generate Transform Url
Builds a URL that, when accessed, will automatically resize or filter an image to...
Upload From Url
Copies and uploads any file found at a public web address into your managed storage.
Get Video Status
Checks the current progress of an ongoing video transcoding job using its unique ID.
Start Video Transcode
Initiates a background process to convert an audio or video file into different web...
Security and governance baked right in.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Start with FileStack, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
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Dealing with media assets is usually a mess of manual conversions and checks.
Right now, every time you upload an image for use online, you probably have to check its size, crop it for Instagram, then maybe resize it again for your website header. If that asset was video, you're likely juggling three separate tools just to get a usable web link, and if it came from a scan, you’re copy-pasting text block by manual text block.
With this MCP connected through Vinkius, the process becomes one command. Your agent handles all those checks—size, safety, format—and gives you back exactly what you need, whether that's an optimized URL or clean, extracted text.
FileStack enables comprehensive asset management with its tools.
The separate steps of checking file metadata, running object detection via `get_image_tags`, and then initiating a video conversion are all separated by manual handoffs. You check the size in one system, upload to another, and run the processing job somewhere else.
Now, your agent handles it all sequentially. It checks the metadata with `get_metadata` first, uses that information to determine if `generate_transform_url` is needed, and then executes the transformation—all within a single conversation flow.
What FileStack MCP does for your AI
This MCP connects advanced file handling capabilities directly into your workflow. You can automate asset pipelines that previously required multiple manual steps: uploading media from a public web link, extracting structured text from scanned documents, and analyzing images for visual content tags. Need to turn a raw video file into web-ready formats like MP4? You can initiate those complex transcoding jobs without ever touching a command line.
Furthermore, you never have to manually resize or crop an image again; the system generates optimized URLs on demand. If your current AI agent setup is running into bottlenecks managing diverse media types, connecting this MCP via Vinkius gives you immediate access to these powerful tools—everything from basic file inspection to advanced video processing.
019e3896-e3fb-7306-ae38-cd0230e64c2b How to set up FileStack MCP
The bottom line is you tell your agent what kind of media task to run, and it handles the entire technical process.
Subscribe to this MCP, providing your unique Filestack API Key (and optional policy details for extra security).
Your AI client uses the key to communicate with the service endpoint and initiate a file operation.
The system returns status updates or the final assets—whether that's an extracted text block, a video job UUID, or a transformation URL.
Who uses FileStack MCP
Anyone dealing with high volumes of visual assets or varied file formats needs this. Think content moderators who need scale, developers building complex frontends, or data engineers needing structured text from unstructured images.
Uses the MCP to automatically scan and flag thousands of visual assets for unsafe content or required tagging before they go live.
Automates asset pipelines by generating transformation URLs or uploading images directly from a public web link within their code editor.
Extracts structured text and metadata from scanned documents, allowing the data to feed into other analytical systems.
Benefits of connecting FileStack MCP
You skip manual image editing. Instead of manually resizing files for different platforms, calling generate_transform_url instantly generates the correct URL with specific dimensions or filters applied.
Content safety becomes automatic. Before publishing anything, your agent uses get_sfw_status to check for unsafe content, giving you immediate compliance feedback at scale.
Complex video formats are handled in the background. Initiate and monitor entire transcoding pipelines using start_video_transcode, converting one source file into multiple web-ready versions like MP4 or HLS.
Data extraction is simple. If you receive a scanned document, running get_ocr pulls the raw text instantly, letting your agent work with structured data without manual input.
Speed up uploads. Don't worry about local file paths; using upload_from_url lets your agent pull and store assets directly from any public web link.
FileStack MCP use cases
Processing a batch of user-submitted photos
A content moderation team receives 500 new profile pictures. Instead of reviewing them one by one, the agent runs get_sfw_status and get_image_tags on every file. The results are compiled into a report showing which files need human review versus those that pass automatically.
Building a dynamic article landing page
A developer needs an image displayed at 400px wide and blurred for preview purposes. They use generate_transform_url to get the exact link, ensuring the front-end only loads the correct, optimized version of the asset.
Digitizing old archival documents
A data scientist has a collection of scanned annual reports. The agent uses get_ocr on each file to pull out all text, then runs get_metadata to understand the original dimensions and source format before feeding the clean text into a database.
Preparing a YouTube video for multiple platforms
A marketing manager uploads a high-res master video. The agent calls start_video_transcode to create versions optimized for Instagram Reels, web embeds, and mobile viewing. They then use get_video_status until all jobs are complete.
FileStack MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Trying to manually resize images
When building a site that needs 10 different image sizes, the developer has to write code for each size and maintain complex file paths.
Use generate_transform_url. This single tool lets your agent generate an optimized URL for any specific size or filter without you ever having to touch the source asset again.
Assuming all images are clean text
A user tries to analyze a scanned textbook page using a simple OCR library that only reads digital PDFs, failing when confronted with handwritten notes.
Run get_ocr. This tool is specifically designed to handle the complexity of extracting readable text from both printed and handwritten materials within images.
Overlooking file details
A developer uploads a file but forgets if it's actually a JPEG, or what its original dimensions were, leading to layout errors.
Call get_metadata. This tool retrieves all the underlying technical specifics about any asset—dimensions, mime type, and size—giving you complete context upfront.
When to use FileStack MCP
Use this MCP if your workflow involves managing diverse media types, specifically images, videos, or scanned documents. If you need to analyze visual content for tags or safety, generate optimized links, or process text out of pictures, this is the tool. Don't use it if you only need basic cloud storage functionality; other general-purpose file tools handle simple uploads. Also, don't use it just because your AI client can talk to a bunch of APIs—you must have a genuine media processing task (like OCR or transcoding) that requires this specific level of deep analysis.
Frequently asked questions about FileStack MCP
How do I process text from an image using FileStack? +
You use the get_ocr tool. Simply pass the image handle to your agent, and it will extract all visible printed or handwritten text into a clean, usable string for you.
Can I automatically resize an image using FileStack? +
Yes, use generate_transform_url. This tool does not change the file; it just gives you the specific URL needed to serve that image at a precise width and height.
What is the difference between uploading files and using upload_from_url? +
Uploading manually handles local files, but upload_from_url lets your agent grab an asset directly from any public web link, simplifying workflows that rely on external content.
Does FileStack handle video formatting for me? +
Yes. You use start_video_transcode to tell the system what format you need (like MP4). The agent then monitors the progress using get_video_status until it's done.
Does FileStack check if my content is safe for work? +
It does. You run the get_sfw_status tool, and the agent will immediately tell you whether the image passes or fails safety checks before publication.