# eyeshot-mcp

> eyeshot-mcp — flyfeathers-eyeshot-mcp. Use this tool when you need to automate screenshot capture and visual analysis on Windows screens, enabling AI to extract insights from screen content. It solves problems such as automated testing, content analysis, and data extraction, by providing a capture-analyze pipeline. The tool takes screen content as input and outputs analyzed data, making it ideal for use cases requiring automated visual inspection and data extraction.

Canonical page: https://skillsregistry.net/skills/flyfeathers-eyeshot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/flyfeathers-eyeshot-mcp

## Description

Provides screenshot capture and vision analysis tools that enable AI to see and analyze screen content on Windows, forming an automated capture-analyze pipeline.

## 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:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uglnfhd1cp)
- **Repository:** <https://github.com/FlyFeathers/eyeshot-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": "flyfeathers-eyeshot-mcp"
    }
  }
}
```

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