# Image Processor MCP Server

> Use this tool when you need to optimize and convert images for web use, solving problems of slow page loads and inefficient image storage. It takes local files or external URLs as input and outputs optimized WebP images uploaded to Vercel Blob storage. Ideal for use cases where fast and efficient image processing is required, such as website development and e-commerce applications.

Canonical page: https://skillsregistry.net/skills/jbergant-mcp-image-processor-to-vercel-blob  
JSON: https://api.skillsregistry.net/v1/skills/jbergant-mcp-image-processor-to-vercel-blob

## Description

Enables optimization, conversion to WebP, and uploading of images to Vercel Blob storage, supporting both local files and external URLs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gvug60fjiq)
- **Repository:** <https://github.com/jbergant/mcp_image_processor_to_vercel_blob>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jbergant-mcp-image-processor-to-vercel-blob"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jbergant-mcp-image-processor-to-vercel-blob` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jbergant-mcp-image-processor-to-vercel-blob/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt