Notes MCP Server
Servidor MCP en Raspi
Un proyecto de servidor MCP
Componentes
Recursos
El servidor implementa un sistema de almacenamiento de notas simple con:
Nota personalizada: esquema URI para acceder a notas individuales
Cada recurso de nota tiene un nombre, una descripción y un tipo MIME de texto simple.
Indicaciones
El servidor proporciona un único mensaje:
resumir-notas: Crea resúmenes de todas las notas almacenadas
Argumento opcional "estilo" para controlar el nivel de detalle (breve/detallado)
Genera un mensaje que combina todas las notas actuales con la preferencia de estilo.
Herramientas
El servidor implementa una herramienta:
add-note: Agrega una nueva nota al servidor
Toma "nombre" y "contenido" como argumentos de cadena requeridos
Actualiza el estado del servidor y notifica a los clientes sobre los cambios de recursos.
Related MCP server: mcp-meituan-ip
Configuración
[TODO: Agregar detalles de configuración específicos para su implementación]
Inicio rápido
Instalar
Escritorio de Claude
En MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json En Windows: %APPDATA%/Claude/claude_desktop_config.json
Desarrollo
Construcción y publicación
Para preparar el paquete para su distribución:
Sincronizar dependencias y actualizar el archivo de bloqueo:
uv syncDistribuciones de paquetes de compilación:
uv buildEsto creará distribuciones de origen y de rueda en el directorio dist/ .
Publicar en PyPI:
uv publishNota: Deberás configurar las credenciales de PyPI a través de variables de entorno o indicadores de comando:
Token:
--tokenoUV_PUBLISH_TOKENO nombre de usuario/contraseña:
--username/UV_PUBLISH_USERNAMEy--password/UV_PUBLISH_PASSWORD
Depuración
Dado que los servidores MCP se ejecutan en stdio, la depuración puede ser complicada. Para una experiencia óptima, recomendamos usar el Inspector MCP .
Puede iniciar el Inspector MCP a través de npm con este comando:
npx @modelcontextprotocol/inspector uv --directory /Users/daikiwatanabe/ghq/github.com/daikw/mcp-server-on-raspi run mcp-server-on-raspiAl iniciarse, el Inspector mostrará una URL a la que podrá acceder en su navegador para comenzar a depurar.
Available Tools
1 tooladd-noteC
Add a new note
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | ||
| name | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Add a new note' without explaining what 'add' entails (e.g., creation, mutation, permissions, side effects, or response format), making it insufficient for a tool with potential write operations.
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 extremely concise with 'Add a new note', a single sentence that directly states the tool's purpose without any unnecessary words. It's front-loaded and efficient, though this brevity contributes to other deficiencies.
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 no annotations, no output schema, and 0% schema description coverage for a 2-parameter tool that likely performs a write operation, the description is completely inadequate. It lacks essential details about behavior, parameters, and outcomes needed for effective tool use.
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 0%, and the description provides no information about the parameters (content and name). It doesn't explain what these parameters mean, their expected formats, or how they relate to adding a note, failing to compensate for the lack of schema documentation.
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 'Add a new note' clearly states the action (add) and resource (note), but it's vague about what constitutes a note and lacks specificity about scope or format. Without sibling tools, differentiation isn't needed, but the purpose remains somewhat generic.
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?
No guidance is provided on when to use this tool, such as prerequisites, context, or alternatives. The description doesn't mention any constraints or typical use cases, leaving the agent without usage direction.
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. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
add-note
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'add-note' has a clear and distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb-noun pattern with 'add-note', and since there is only one tool, there is no inconsistency to evaluate. The naming is clear and predictable within this minimal set.
A single tool is too few for a server named 'Notes MCP Server', which implies a broader scope for managing notes (e.g., creating, reading, updating, deleting). This minimal set feels incomplete and under-scoped for the apparent domain.
The tool surface is severely incomplete for a notes management server. It only provides an 'add-note' tool, lacking essential operations like retrieving, updating, deleting, or listing notes, which will cause significant agent failures in typical workflows.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
- TaprootOAuthcom.taproothq
Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.
Search, read, create and edit your Memol notes from Claude. Team note-taking with AI search.
Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceA Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme.5-
- AlicenseBqualityDmaintenanceA simple note storage system that allows creating, storing, and summarizing notes with customizable detail levels.2MIT
- FlicenseBqualityDmaintenanceA simple system that allows Claude to leave and manage notes for itself across sessions, functioning like an 'Alexa, remind me...' for AI assistants.72-
- FlicenseBqualityDmaintenanceA simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.117-
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