# DevEyes

> Use this tool when you need to optimize screenshots from your local development environment for large language model (LLM) consumption. DevEyes captures and automatically optimizes screenshots, solving issues with incompatible image formats and sizes. It takes local development environment screenshots as input and outputs optimized images for seamless LLM integration.

Canonical page: https://skillsregistry.net/skills/gnana997-deveyes  
JSON: https://api.skillsregistry.net/v1/skills/gnana997-deveyes

## Description

DevEyes is a Model Context Protocol (MCP) server that captures screenshots from your local development environment and automatically optimizes them for LLM consumption.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/di4dw2apq1)
- **Repository:** <https://github.com/gnana997/deveyes>

## 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": "gnana997-deveyes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gnana997-deveyes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gnana997-deveyes/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