# vision-tool

> vision-tool — farhanic017-vision-tool. Use this tool when you need to analyze images or videos for AI-powered applications, such as object detection or scene understanding, and integrate with various development environments like VS Code or LM Studio. The vision-tool provides image and video analysis capabilities, accepting visual inputs and generating insightful outputs for informed decision-making. It is particularly useful for developers working with AI agents, local LLMs, and other machine learning frameworks.

Canonical page: https://skillsregistry.net/skills/farhanic017-vision-tool  
JSON: https://api.skillsregistry.net/v1/skills/farhanic017-vision-tool

## Description

MCP vision server for AI agents, Claude, Cursor, OpenCode, VS Code, local LLMs, Ollama, LM Studio, OpenRouter, Gemini, image analysis, and video understanding.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/farhanic017/vision-tool)

## 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": "farhanic017-vision-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/farhanic017-vision-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/farhanic017-vision-tool/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