Skip to main content
Glama
andredezzy
by andredezzy

Árbol de directorios profundo MCP 🌳

Llamadas de herramientas de herrería Versión NPM Descargas de NPM

Una potente implementación del Protocolo de Contexto de Modelo (MCP) para visualizar y analizar estructuras de directorios. ¿Por qué? Ahora puede permitir que los asistentes de IA comprendan y naveguen eficientemente por la estructura de su proyecto, lo que permite una navegación de código más inteligente y una visión más clara de la organización del proyecto.

Construido con:

Características

  • Visualización profunda del árbol de directorios

  • Generación de árboles configurable según la profundidad

  • Exclusión inteligente de archivos y directorios basada en patrones

  • Formato de salida de árbol limpio y legible

  • Actualizaciones de la estructura de directorios en tiempo real

  • Análisis de directorios específicos

MANIFESTACIÓN:

Demostración de MCP de Cursor + Árbol de directorios profundo

Related MCP server: MCP Filesystem Server

Inicio rápido

Prerrequisitos

Instalación de herrería

La forma más fácil de comenzar es utilizando Smithery :

npx -y @smithery/cli install @andredezzy/deep-directory-tree-mcp --client cursor

Instalación manual

Configuración del IDE del cursor

  1. Abra Configuración del cursor → MCP → Agregar nuevo servidor MCP

  2. Configure con estos ajustes:

    {
      "deep-directory-tree": {
        "command": "npx",
        "args": ["-y", "@andredezzy/deep-directory-tree-mcp"]
      }
    }

Configuración del escritorio de Claude

Agregue lo siguiente a su configuración de MCP:

{
  "mcpServers": {
    "deep-directory-tree": {
      "command": "npx",
      "args": ["-y", "@andredezzy/deep-directory-tree-mcp"]
    }
  }
}

Uso

Comandos comunes para asistentes de IA:

  • "Muéstrame la estructura del directorio"

  • Visualizar el árbol del proyecto hasta la profundidad 4

  • "Mostrar archivos excluyendo los directorios de prueba"

Desarrollo

Prerrequisitos

# Clone the repository
git clone https://github.com/andredezzy/deep-directory-tree-mcp.git
cd deep-directory-tree-mcp

# Install dependencies
bun install

# Build the project
bun run build

Manual de desarrollo e instalación

Configuración del IDE del cursor

  1. Abra Configuración del cursor → MCP → Agregar nuevo servidor MCP

  2. Configure con estos ajustes:

    {
      "deep-directory-tree": {
        "command": "node",
        "args": ["ABSOLUTE_PATH_TO_MCP_SERVER/bin/deep-directory-tree.js"]
      }
    }

Configuración del escritorio de Claude

Agregue lo siguiente a su configuración de MCP:

{
  "mcpServers": {
    "deep-directory-tree": {
      "command": "node",
      "args": ["ABSOLUTE_PATH_TO_MCP_SERVER/bin/deep-directory-tree.js"]
    }
  }
}

Contribuyendo

  1. Bifurcar el repositorio

  2. Crear una rama de características ( git checkout -b feature/amazing-feature )

  3. Confirmar cambios ( git commit -m 'Add feature' )

  4. Empujar a la rama ( git push origin feature/amazing-feature )

  5. Abrir una solicitud de extracción

Apoyo

¿Necesitas ayuda? Prueba estos recursos:

Licencia

Licencia MIT: consulte el archivo LICENCIA para obtener más detalles.

Available Tools

1 tool
get_deep_directory_treeC

Get deep directory tree

ParametersJSON Schema
NameRequiredDescriptionDefault
optionsNoTree generation options
pathYesPath to get the directory tree (preferably absolute path)

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the action without detailing output format, performance implications, error handling, or system impacts. This is inadequate for a tool that likely returns structured data and may have depth/exclusion constraints.

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 extremely concise with a single phrase, front-loaded and without unnecessary words. It efficiently conveys the core intent, though this brevity contributes to gaps in other dimensions.

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

Completeness2/5

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 a tool with behavioral complexity (e.g., tree generation with exclusions), the description is incomplete. It fails to explain return values, error cases, or practical use, leaving significant gaps for agent understanding.

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%, so the schema fully documents parameters like 'path' and 'options' with defaults. The description adds no parameter semantics beyond what the schema provides, meeting the baseline for high coverage but not enhancing understanding.

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

Purpose3/5

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

The description 'Get deep directory tree' states the basic action (get) and resource (directory tree), but lacks specificity about what 'deep' means or how it differs from a shallow tree. Without sibling tools, differentiation isn't needed, but the purpose remains vague about the nature of the operation beyond the literal interpretation.

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

Usage Guidelines2/5

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 versus alternatives or any prerequisites. The description does not mention context like file system exploration or debugging scenarios, leaving the agent with no usage cues beyond the tool name.

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. 1 tool updatev1.0.0
    • First observedget_deep_directory_tree

TDQS

C2.9/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap with other tools. The tool's purpose is clearly distinct by default.

Naming Consistency5/5

A single tool inherently follows a consistent naming pattern, as there are no other tools to compare against. The name 'get_deep_directory_tree' uses a clear verb_noun structure.

Tool Count2/5

One tool is too few for a server named 'deep-directory-tree-mcp', which suggests a scope that might include operations like listing, filtering, or modifying directory trees. A single get operation feels thin and incomplete for this domain.

Completeness2/5

The tool surface is severely incomplete for a directory tree domain. It only provides a get operation, with obvious gaps such as creating, updating, deleting, or searching directory trees, which are essential for basic CRUD coverage.

Maintenance

ActivityInactive
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • F
    license
    B
    quality
    D
    maintenance
    Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.
    13
    4
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.
    12 npm
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Enables token-efficient semantic search and analysis over any directory of files through hybrid search, directory overview, structural analysis, and dependency graphs.
    14
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides a dependency graph of any local repository with tools for change impact, transitive dependents, health audits, and more, enabling AI coding agents to see structure and refactor safely.
    4,912 npm
    4
    MIT