Vercel Blob

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by jezweb · vlatest · Repository

Upload, retrieve, and manage files directly within your Vercel project using this versatile blob storage integration.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add vercel-blob npx -- -y @trustedskills/vercel-blob
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "vercel-blob": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/vercel-blob"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The vercel-blob skill enables AI agents to interact with Vercel Blob, a storage service for large files. It allows uploading, downloading, and managing blobs (binary large objects) directly from within an AI agent workflow.

When to use it

  • Uploading user-generated media like images or videos to a serverless storage solution.
  • Storing and retrieving large datasets or application assets in a scalable way.
  • Integrating file handling capabilities into AI-powered web applications hosted on Vercel.

Key capabilities

  • Upload files to Vercel Blob
  • Download files from Vercel Blob
  • Manage blob metadata and access controls

Example prompts

  • "Upload the image at /user-uploads/photo.jpg to Vercel Blob."
  • "Download the file report.pdf from Vercel Blob and save it locally."
  • "List all blobs stored in the 'media' container on Vercel Blob."

Tips & gotchas

  • Ensure you have a Vercel account and API token configured for authentication.
  • Be mindful of file size limits and storage quotas when using Vercel Blob.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
jezweb
Installs
338

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Passed automated security scans.