andredezzy deep filesystem tree mcp

andredezzy deep filesystem tree mcp avatar

by andredezzy

Powerful Model Context Protocol (MCP) implementation for visualizing directory structures with real-time updates, configurable depth, and smart exclusions for efficient project navigation

What is andredezzy deep filesystem tree mcp

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.

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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