FileStack MCP Server for CursorGive Cursor instant access to 8 tools to Generate Transform Url, Get Image Tags, Get Metadata, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this MCP Server for Cursor
The FileStack MCP Server for Cursor is a standout in the Image Video category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"filestack": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install FileStack and 4,000+ MCP Servers from a single visual interface.





* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FileStack MCP Server
Connect your Filestack account to any AI agent to handle complex file workflows, from cloud uploads to advanced AI content analysis, through simple commands.
Cursor's Agent mode turns FileStack into an in-editor superpower. Ask Cursor to generate code using live data from FileStack and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Smart Uploads — Upload files directly from any public URL to your Filestack S3 storage using
upload_from_url. - AI Intelligence — Automatically extract text from documents (
get_ocr), detect objects and features in images (get_image_tags), and check for unsafe content (get_sfw_status). - Image Transformations — Generate optimized CDN URLs for resizing, blurring, or filtering images using
generate_transform_urlwithout manual editing. - Video Processing — Initiate and monitor asynchronous video transcoding jobs (
start_video_transcode) to convert files into web-ready formats like MP4 or HLS. - Metadata Inspection — Retrieve deep technical details including dimensions, mime types, and file sizes with
get_metadata.
The FileStack MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 FileStack tools available for Cursor
When Cursor connects to FileStack through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-upload, image-processing, ocr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Generate transform url on FileStack
g., resize=width:400). Does not execute the request, just returns the URL. Generate a Filestack transformation URL
Get image tags on FileStack
Detect objects and features in an image
Get metadata on FileStack
Get metadata for a Filestack file
Get ocr on FileStack
Extract printed or handwritten text (OCR)
Get sfw status on FileStack
Detect unsafe content (Safe for Work)
Get video status on FileStack
Poll status of a video transcoding job
Start video transcode on FileStack
Returns a UUID that must be used to poll for status. Start asynchronous video/audio transcoding
Upload from url on FileStack
Upload a file to Filestack from a public URL
Connect FileStack to Cursor via MCP
Follow these steps to wire FileStack into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using FileStack
Why Use Cursor with the FileStack MCP Server
Cursor AI Code Editor provides unique advantages when paired with FileStack through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
FileStack + Cursor Use Cases
Practical scenarios where Cursor combined with the FileStack MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for FileStack in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with FileStack immediately.
"Upload this image to Filestack: https://example.com/photo.jpg"
"What objects are detected in the image with handle ABC123XYZ?"
"Convert the video ABC123XYZ to mp4 format."
Troubleshooting FileStack MCP Server with Cursor
Common issues when connecting FileStack to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
FileStack + Cursor FAQ
Common questions about integrating FileStack MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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