# Image Parse MCP

> Use this tool when you need to analyze images using AI-powered vision APIs, supporting various input formats such as URLs, local files, or base64 encoded images, with customizable prompts to solve problems like image classification, object detection, and content understanding. It provides a flexible interface for image analysis, accepting different input types and generating insightful outputs. Ideal for use cases requiring automated image interpretation, such as content moderation, product categorization, or visual data extraction.

Canonical page: https://skillsregistry.net/skills/1617110693-image-parse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/1617110693-image-parse-mcp

## Description

Enables image analysis using any OpenAI-compatible vision API, supporting URLs, local files, or base64 input with custom prompts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qdz5pr63sc)
- **Repository:** <https://github.com/1617110693/Image-Parse-MCP>

## 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": "1617110693-image-parse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1617110693-image-parse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1617110693-image-parse-mcp/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