# nightglass-mcp

> nightglass-mcp — mizukaizen-nightglass-mcp. Use this tool when you need to manage and serve screenshots through the nightglass API, solving issues with image processing and retrieval. It provides a server interface for handling screenshot requests and outputs processed images, accepting input through API calls. Ideal for use cases requiring automated screenshot management and integration with development workflows, such as git-based projects.

Canonical page: https://skillsregistry.net/skills/mizukaizen-nightglass-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mizukaizen-nightglass-mcp

## Description

MCP server for the nightglass screenshot API

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/mizukaizen/nightglass-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": "mizukaizen-nightglass-mcp"
    }
  }
}
```

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