# opencode-eyes

> opencode-eyes — bauerelizabeth07139-opencode-eyes. Use this tool when you need to convert images into detailed text descriptions, enabling models to "see" and understand visual content. The opencode-eyes MCP server solves problems in image analysis and accessibility by providing a multimodal model-based interface that takes images as input and outputs descriptive text. Ideal for use cases where visual data needs to be processed or understood by AI models, such as image classification, object detection, or content description.

Canonical page: https://skillsregistry.net/skills/bauerelizabeth07139-opencode-eyes  
JSON: https://api.skillsregistry.net/v1/skills/bauerelizabeth07139-opencode-eyes

## Description

MCP server that provides image description capability using StepFun Step-3.7-flash multimodal model, enabling models to 'see' images by converting them into detailed text descriptions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z70l35ybfw)
- **Repository:** <https://github.com/bauerelizabeth07139/opencode-eyes>

## 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": "bauerelizabeth07139-opencode-eyes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bauerelizabeth07139-opencode-eyes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bauerelizabeth07139-opencode-eyes/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
