# Safe Vision MCP

> Safe Vision MCP — williamxhero-safevision. Use this tool when you need to efficiently inspect local images without loading large files, generating thumbnails, contact sheets, and statistics to facilitate safe and efficient image analysis. It solves problems related to image handling in resource-constrained environments, such as LLM contexts. The tool takes local image files as input and outputs compact thumbnails, contact sheets, and statistical data.

Canonical page: https://skillsregistry.net/skills/williamxhero-safevision  
JSON: https://api.skillsregistry.net/v1/skills/williamxhero-safevision

## Description

Safe Vision MCP enables safe and efficient local image inspection by generating thumbnails, contact sheets, and statistics, avoiding large images in LLM context.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h0u0porj9l)
- **Repository:** <https://github.com/williamxhero/SafeVision>

## 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": "williamxhero-safevision"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/williamxhero-safevision` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/williamxhero-safevision/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