MCP ExplorerExplorer

Deep Directory Tree Mcp

@andredezzyon a year ago
6 MIT
FreeCommunity
AI Systems
#ai#mcp#model-context-protocol
Deep Directory Tree MCP visualizes complex directory structures for efficient development.

Overview

What is Deep Directory Tree Mcp

Deep Directory Tree MCP is a Model Context Protocol (MCP) implementation that visualizes complex directory structures, enhancing development workflows through AI-powered file system analysis.

Use cases

Use cases include visualizing project file structures, optimizing development workflows, and aiding in file system navigation for large projects.

How to use

To use Deep Directory Tree MCP, install it via Smithery or manually by cloning the repository. After installation, configure it in your MCP client and start the server to visualize directory structures.

Key features

Key features include deep directory tree visualization, configurable depth-based tree generation, pattern-based file/directory exclusion, and clean, readable output format.

Where to use

Deep Directory Tree MCP can be used in software development, data analysis, and any field requiring efficient management of complex directory structures.

Content

Deep Directory Tree MCP 🌳

Smithery Tool Calls
NPM Version
NPM Downloads

A powerful Model Context Protocol (MCP) implementation for visualizing and analyzing directory structures. Why? Now you can let AI assistants understand and navigate your project structure efficiently, enabling smarter code navigation and project organization insights.

Built with:

Features

  • Deep directory tree visualization
  • Configurable depth-based tree generation
  • Smart pattern-based file/directory exclusion
  • Clean and readable tree output format
  • Real-time directory structure updates
  • Targeted directory analysis

DEMO:

Cursor + Deep Directory Tree MCP Demo

Quick Start

Prerequisites

Smithery Installation

The easiest way to get started is using Smithery:

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

Manual Installation

Cursor IDE Setup

  1. Open Cursor Settings → MCP → Add new MCP server

  2. Configure with these settings:

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

Claude Desktop Setup

Add the following to your MCP configuration:

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

Usage

Common commands for AI assistants:

  • “Show me the directory structure”
  • “Visualize project tree up to depth 4”
  • “Show files excluding test directories”

Development

Prerequisites

# 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

Development Manual Installation

Cursor IDE Setup

  1. Open Cursor Settings → MCP → Add new MCP server

  2. Configure with these settings:

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

Claude Desktop Setup

Add the following to your MCP configuration:

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

Contributing

  1. Fork the repository
  2. Create feature branch (git checkout -b feature/amazing-feature)
  3. Commit changes (git commit -m 'Add feature')
  4. Push to branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Support

Need help? Try these resources:

License

MIT License - see LICENSE file for details.

Tools

No tools

Comments

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