Filestack Connector for AI agents.
8 live capabilities
Manage image and video assets with automated cloud processing.
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Why people use Filestack
FileStack for Automated Media Asset Pipelines
This Connector lets your agent do that entire sequence in one go. You give it a URL, and it handles the upload, text extraction, and metadata storage. You get a finished result without ever leaving your chat interface.
What Vinkius changes
You get a way to manage complex media pipelines through simple natural language.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated Content Moderation
A moderator needs to scan a gallery.
- Real-world use case 02
Scanning Receipts for Data Entry
A data engineer has a folder of scanned receipts.
- Real-world use case 03
On-the-fly Thumbnail Generation
A web developer needs thumbnails for user uploads.
Complete set · 8capabilities
The complete Filestack capability set.
These are the exact actions your AI can choose when you ask it to work with Filestack.
01—04
4 capabilities in this set.
Part of 8 available through Filestack.
- 01 Capability
Get sfw status
Detects unsafe content in images. This helps automate community safety checks and moderation.
- 02 Capability
Generate transform url
Creates a CDN URL for resizing or filtering images. It lets you get specific dimensions without editing files.
- 03 Capability
Get image tags
Detects objects and features in an image. It is useful for auto-tagging a large photo library.
- 04 Capability
Get metadata
Retrieves technical details like dimensions and mime types. Use this to check file properties quickly.
05—08
4 capabilities in this set.
Part of 8 available through Filestack.
- 05 Capability
Get ocr
Extracts printed or handwritten text from documents. It turns images into searchable text data.
- 06 Capability
Upload from url
Uploads a file to Filestack from a public URL. It is a fast way to move assets into your storage.
- 07 Capability
Get video status
Checks the status of a video transcoding job. Use this to see if your video is ready for use.
- 08 Capability
Start video transcode
Starts an asynchronous video transcoding job. It converts files into web-ready formats like MP4.
Set up in minutes
One URL. Then ask Filestack to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Filestack from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Filestack, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Filestack for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Filestack URL.
- Step 03
Save and start
Save the connection and enable Filestack in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"filestack": {
"url": "https://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Filestack
Open Agent mode in chat and ask: "Using Filestack, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"filestack": {
"url": "https://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Filestack
Ask Copilot: "Using Filestack, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"filestack": {
"url": "https://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Filestack
Open Cascade and ask: "Using Filestack, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"filestack": {
"url": "https://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Filestack
Ask Cline: "Using Filestack, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add filestack --transport http "https://edge.vinkius.com/vk_preview_KGFK0vBlAyeq8lyImuHLANnNzsFyop3aMeVzgPza/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Filestack
Ask Claude: "Using Filestack, show me...". 8 tools are ready
Where the request belongs
Work Filestack can move forward.
This is for media engineers and content managers who are tired of manual asset processing. It's for the person who needs to process thousands of images or videos without clicking a single button in a dashboard.
Content Moderator
They use the agent to automatically flag unsafe images and tag visual assets at scale to keep platforms clean.
Data Engineer
They use OCR to pull structured text from scanned documents into databases without manual data entry.
Frontend Developer
They ask the agent to generate optimized image URLs for web apps on the fly to ensure fast load times.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsTransloadit
Versatile file uploading and processing API.
Convertio
Enable your AI agent to convert images, documents, audio, and video files across hundreds of formats using the Convertio API.
Uploadcare
Manage your entire media infrastructure. upload, retrieve, organize, and delete files securely via Uploadcare directly from your AI agent.
CloudConvert
Convert files between 200+ formats including PDF, images, video, and documents with a fast cloud-based processing engine.
Cloudinary
Manage media assets via Cloudinary. track resources, monitor usage, and automate transformations directly from any AI agent.
ImageKit (Media Optimization & DAM)
Manage and optimize media via ImageKit. list files, purge CDN cache, and audit image metadata.
Bring your own AI
Change the model, client or framework. Keep Filestack connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Filestack.
The practical details behind the request, access and result.
Can the FileStack MCP read text from photos?
Yes, it uses OCR to extract printed or handwritten text from images, making it easy to turn photos into data your agent can use.
How does FileStack MCP handle large videos?
It starts an asynchronous transcoding job, which means it processes the video in the cloud and lets you check the status later.
Can I use FileStack MCP to resize images?
You can generate CDN URLs that automatically resize, blur, or filter images without needing to edit the original file.
Does FileStack MCP help with content moderation?
Yes, it can automatically check images for unsafe content, which is great for keeping your platform clean and safe.
Can I upload files to Filestack using the Connector?
You can provide a public URL to the agent, and it will handle the upload to your Filestack storage for you.
What kind of metadata can FileStack MCP get?
It retrieves technical details like the file's dimensions and mime type so you do not have to check them manually.
How can I extract text from a scanned document or image?
Use the get_ocr capability with the file handle. The AI will perform Optical Character Recognition and return the extracted text along with its coordinates.
Is there a way to check if an uploaded image contains adult or unsafe content?
Yes, the get_sfw_status capability uses Filestack Intelligence to analyze the image and return a safety score, helping you moderate content automatically.
Can I resize an image without actually downloading and re-uploading it?
Absolutely. Use generate_transform_url to create a specific CDN URL with tasks like resize=width:400. This allows the Filestack CDN to handle the transformation on the fly.
One connection away
Give your agent a direct line to Filestack.
Connect Filestack once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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