# reader3000-mcp

> reader3000-mcp — angelux-reader3000-mcp. Use this tool when you need to collaborate on Markdown documents and track changes. It enables users to share documents for review, add inline annotations, and create structured change requests, streamlining the feedback and revision process. Ideal for teams working on documentation, content creation, or knowledge base development, it accepts Markdown files as input and outputs annotated documents with change requests.

Canonical page: https://skillsregistry.net/skills/angelux-reader3000-mcp  
JSON: https://api.skillsregistry.net/v1/skills/angelux-reader3000-mcp

## Description

Enables sharing Markdown documents for collaborative review with inline annotations and structured change requests.

## 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:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/prmt07ntzb)
- **Repository:** <https://github.com/angelux/reader3000-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": "angelux-reader3000-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angelux-reader3000-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angelux-reader3000-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