# Scrapbox

> Use this tool when you need to interact with Scrapbox data programmatically, such as for knowledge management, collaborative note-taking, or building integrated chatbots. It provides a standardized interface for AI models to read and write Scrapbox pages, simplifying access to content without requiring deep API knowledge. Ideal for applications needing to leverage Scrapbox data, this tool enables quick and easy integration with minimal complexity.

Canonical page: https://skillsregistry.net/skills/worldnine-scrapbox  
JSON: https://api.skillsregistry.net/v1/skills/worldnine-scrapbox

## Description

This Scrapbox MCP server, developed by worldnine, enables AI models to interact with Scrapbox through a standardized interface. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides tools for reading and writing Scrapbox pages. The implementation focuses on simplicity and ease of use, making it accessible for AI assistants or applications needing to access Scrapbox data programmatically. It's particularly useful for tasks like knowledge management, collaborative note-taking, or building Scrapbox-integrated chatbots, enabling quick access to Scrapbox content without requiring deep knowledge of the underlying API complexities.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/worldnine-scrapbox)
- **Repository:** <https://github.com/worldnine/scrapbox-cosense-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": "worldnine-scrapbox"
    }
  }
}
```

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