# api-vision-mcp

> api-vision-mcp — stzhiyang-api-vision-mcp. Use this tool when you need to recognize and classify images using AI-powered vision models, solving problems such as object detection, image classification, and scene understanding. It provides a unified API interface to support multiple platforms, including OpenAI, DeepSeek, and Ollama, and accepts image inputs to produce categorized outputs. Ideal for applications requiring automated image analysis and insight generation.

Canonical page: https://skillsregistry.net/skills/stzhiyang-api-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/stzhiyang-api-vision-mcp

## Description

Enables image recognition using vision models via OpenAI-compatible APIs, supporting multiple platforms like OpenAI, DeepSeek, and Ollama.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hv3me8qpr9)
- **Repository:** <https://github.com/stzhiyang/api-vision-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": "stzhiyang-api-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stzhiyang-api-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stzhiyang-api-vision-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