# io.eraser/eraser

> Use this tool when you need to create, modify, and organize visual diagrams and documents with the aid of artificial intelligence. It solves problems related to visual project planning, documentation, and collaboration by generating and editing Eraser diagrams. The tool takes in user input and AI guidance, outputting organized and updated diagrams and documents.

Canonical page: https://skillsregistry.net/skills/io-eraser-eraser  
JSON: https://api.skillsregistry.net/v1/skills/io-eraser-eraser

## Description

Generate, edit, and manage Eraser diagrams and docs with AI.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.eraser%2Feraser)

## Use it

MCP endpoint published by the skill: `https://app.eraser.io/api/mcp`

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": "io-eraser-eraser"
    }
  }
}
```

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