Scrapbox MCP Server
Servidor MCP scrapbox-mcp
Un servidor de protocolo de contexto de modelo
Este es un servidor MCP basado en TypeScript que implementa un sistema de notas sencillo. Demuestra los conceptos básicos de MCP al proporcionar:
Recursos que representan notas de texto con URI y metadatos
Herramientas para crear nuevas notas
Indicaciones para generar resúmenes de notas
Características
Recursos
Lista y acceso a notas mediante URI
note://Cada nota tiene un título, contenido y metadatos.
Tipo MIME de texto simple para acceso simple al contenido
Herramientas
create_note- Crea nuevas notas de textoToma el título y el contenido como parámetros obligatorios
Almacena notas en el estado del servidor
Indicaciones
summarize_notes- Genera un resumen de todas las notas almacenadasIncluye todos los contenidos de las notas como recursos integrados
Devuelve una solicitud estructurada para el resumen de LLM
Related MCP server: Browser-use MCP Server
Desarrollo
Instalar dependencias:
npm installConstruir el servidor:
npm run buildPara desarrollo con reconstrucción automática:
npm run watchInstalación
Para utilizar con Claude Desktop, agregue la configuración del servidor:
En MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json En Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"scrapbox-mcp": {
"command": "/path/to/scrapbox-mcp/build/index.js"
}
}
}Depuración
Dado que los servidores MCP se comunican a través de stdio, la depuración puede ser complicada. Recomendamos usar el Inspector MCP , disponible como script de paquete:
npm run inspectorEl Inspector proporcionará una URL para acceder a las herramientas de depuración en su navegador.
Available Tools
1 toolget_page_contentB
Fetch content from a Scrapbox page by URL
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Scrapbox page URL (e.g., https://scrapbox.io/project-name/page-title) |
TDQS
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.
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.
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.
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.
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.
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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_page_content
TDQS
Scored across 1 tool
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.
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.
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.
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
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