# Excalidraw+

> Use this tool when you need to programmatically manage collaborative whiteboard data, such as drawing scenes and member administration, through a REST API interface with bearer token authentication. It solves problems related to automating tasks and integrating Excalidraw+ workspaces with AI assistants, providing inputs like API requests and outputs like scene data and activity logs. Ideal for use cases requiring stateless interaction with collaborative whiteboard data, such as automating workflows or analyzing workspace activity.

Canonical page: https://skillsregistry.net/skills/excalidraw-plus  
JSON: https://api.skillsregistry.net/v1/skills/excalidraw-plus

## Description

Provides programmatic access to Excalidraw+ workspaces through tools for managing drawing scenes, organizing collections, administering workspace members, and tracking activity logs. Built on the Excalidraw+ REST API with bearer token authentication, it enables AI assistants to interact with collaborative whiteboard data in stateless mode. Currently in alpha — tool names and schemas may change.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/excalidraw-plus)

## 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": "excalidraw-plus"
    }
  }
}
```

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