# MCP Image Recognition Server

> Use this tool when you need to analyze and understand visual content, such as identifying objects or scenes in images. The MCP Image Recognition Server solves problems like image classification, object detection, and visual question answering by accepting image URLs or Base64 data and returning text descriptions or answers. It is ideal for applications requiring automated image analysis, such as content moderation, accessibility features, or visual data analysis.

Canonical page: https://skillsregistry.net/skills/glasses666-mcp-image-recognition-py  
JSON: https://api.skillsregistry.net/v1/skills/glasses666-mcp-image-recognition-py

## Description

Enables image analysis and recognition through multiple LLM vision models (Gemini, GPT-4o, Qwen-VL, Doubao) by accepting image URLs or Base64 data and returning text descriptions or answers to questions about the images.

## 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/i2r6ck3qhk)
- **Repository:** <https://github.com/glasses666/mcp-image-recognition-py>

## 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": "glasses666-mcp-image-recognition-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glasses666-mcp-image-recognition-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glasses666-mcp-image-recognition-py/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