# mcp-view-image

> mcp-view-image — thefabfab-mcp-view-image. Use this tool when you need to provide AI agents with image viewing capabilities, solving problems such as visual data analysis and processing. It accepts image inputs via file path or base64 data URI and returns them in a standardized multipart format with metadata. Ideal for use cases requiring image processing and analysis in AI workflows.

Canonical page: https://skillsregistry.net/skills/thefabfab-mcp-view-image  
JSON: https://api.skillsregistry.net/v1/skills/thefabfab-mcp-view-image

## Description

Model Context Protocol (MCP) server that provides image viewing capabilities for AI agents. Accepts images via file path or base64 data URI and returns them in a standardized multipart format with metadata.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/TheFabFab/mcp-view-image)

## 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": "thefabfab-mcp-view-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thefabfab-mcp-view-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thefabfab-mcp-view-image/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