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YuheiNakasaka

Scrapbox MCP Server

by YuheiNakasaka
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scrapbox-mcp MCP Server

A Model Context Protocol server

This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:

  • Resources representing text notes with URIs and metadata

  • Tools for creating new notes

  • Prompts for generating summaries of notes

Features

Resources

  • List and access notes via note:// URIs

  • Each note has a title, content and metadata

  • Plain text mime type for simple content access

Tools

  • create_note - Create new text notes

    • Takes title and content as required parameters

    • Stores note in server state

Prompts

  • summarize_notes - Generate a summary of all stored notes

    • Includes all note contents as embedded resources

    • Returns structured prompt for LLM summarization

Related MCP server: Browser-use MCP Server

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "scrapbox-mcp": {
      "command": "/path/to/scrapbox-mcp/build/index.js"
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Available Tools

1 tool
get_page_contentB

Fetch content from a Scrapbox page by URL

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesScrapbox page URL (e.g., https://scrapbox.io/project-name/page-title)

TDQS

B3.3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states the tool fetches content but lacks details on behavioral traits such as error handling (e.g., invalid URLs, authentication needs), rate limits, or what 'content' entails (e.g., raw HTML, parsed text). This leaves significant gaps for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste—it directly states the tool's function without unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (1 parameter, no output schema, no annotations), the description is minimally complete. It covers the basic purpose but lacks details on behavior and output, which are needed for full contextual understanding. It's adequate but has clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the parameter 'url' fully documented in the schema. The description adds no additional meaning beyond implying it's for Scrapbox pages, which the schema example already suggests. Baseline 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Fetch content') and target resource ('from a Scrapbox page by URL'), making the purpose immediately understandable. It doesn't need to differentiate from siblings since none exist, but it could be more specific about what 'content' includes (e.g., text, metadata, structure).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when needing page content from a Scrapbox URL, but provides no explicit guidance on when to use this tool versus alternatives (e.g., other fetching methods) or any prerequisites. With no sibling tools, the baseline is adequate but unguided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.4/5.0
Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools, making disambiguation perfect. The tool's purpose is clearly defined and distinct by default.

Naming Consistency5/5

The single tool follows a clear verb_noun pattern (get_page_content), and with no other tools to compare, consistency is inherently perfect. There are no deviations or mixed conventions.

Tool Count2/5

One tool is too few for a server named 'Scrapbox MCP Server', which implies broader functionality for interacting with Scrapbox pages. A single fetch tool feels thin and limited in scope, suggesting an incomplete or minimal implementation.

Completeness2/5

The tool surface is severely incomplete for a Scrapbox server, covering only fetching page content. Obvious gaps include creating, updating, deleting, or listing pages, which are essential operations for managing a wiki or note-taking system like Scrapbox.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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