How to Use the FileStack MCP in Cursor

Q: Does FileStack work with Cursor Agent mode?

Absolutely. The Agent can call getmetadata or getocr automatically to get the info it needs to write your code.

Q: Can I use FileStack for bulk image tagging in Cursor?

Yes, you can loop through file lists and call getimagetags for each. It gives you real object detection data in your project files.

Inject live file analysis and media processing into your Cursor codebase.

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Connect FileStack MCP to Cursor

Create your Vinkius account to connect FileStack to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FileStack with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

FileStack tools for Cursor developers

Stop mocking your media uploads. Use `upload_from_url` to fetch real files and `get_metadata` to populate your database with verified file data. This lets you write code that interacts with actual assets. You spend less time debugging file ingestion and more time writing features.

Analyze visual data in your editor

Feed `get_ocr` or `get_image_tags` results directly into your Cursor chat. It gives the AI perfect context for the images you are referencing in your code. No more guessing what is in an image. You get structured data that you can immediately parse into your application logic.

Streamline video tasks in Cursor

Trigger `start_video_transcode` to kick off conversion jobs from your terminal or chat. Use `get_video_status` to check progress without switching windows. It treats video transcoding like any other function call. You keep your head in the code while the server handles the media processing.

Setup guide

Set up FileStack MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the FileStack MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent FileStack transactions." If the MCP tools are loaded correctly, Cursor will call the FileStack tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "filestack-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Filestack. 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.

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Common questions about FileStack MCP in Cursor

Add the server to your .cursor/mcp.json file. Once configured, enable Agent mode to let the AI use the tools while you code.

Absolutely. The Agent can call `get_metadata` or `get_ocr` automatically to get the info it needs to write your code.

The server processes your media files and metadata via the API. We only handle the specific file types and data you explicitly provide for analysis.

Yes, you can loop through file lists and call `get_image_tags` for each. It gives you real object detection data in your project files.

Once the server is connected, the tools are available in the Agent's context. You can see them listed in your MCP configuration.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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