deep-filesystem-tree
A Model Context Protocol (MCP) implementation that provides deep filesystem tree visualization and manipulation capabilities. This tool enables efficient navigation and management of complex directory structures, enhancing development workflows with AI-powered file system operations. Compatible with
README
Deep Directory Tree MCP
A Model Context Protocol (MCP) implementation that provides deep directory tree visualization capabilities. This tool enables efficient visualization of complex directory structures, enhancing development workflows with AI-powered file system structure analysis. Compatible with any MCP-enabled client or AI assistant.
<a href="https://glama.ai/mcp/servers/deep-directory-tree"><img width="380" height="200" src="https://glama.ai/mcp/servers/deep-directory-tree/badge" alt="Deep Directory Tree MCP server" /></a>
Quick Start
Installing via Smithery
To install Deep Directory Tree MCP automatically via Smithery:
npx -y @smithery/cli install deep-directory-tree-mcp --client claude
Installing Manually
-
Prerequisites
- Bun runtime
-
Installation
# Install globally bun install -g deep-directory-tree-mcp # Or install locally git clone https://github.com/andredezzy/deep-directory-tree-mcp.git cd deep-directory-tree-mcp bun install -
Add to Claude's MCP Configuration Add the following to your Claude configuration:
{ "name": "deep-directory-tree", "type": "mcp", "config": { "server": "https://glama.ai/mcp/servers/deep-directory-tree" } } -
Start the Server
# If installed globally deep-directory-tree-mcp # If installed locally bun start
Features
- Deep directory tree visualization
- Configurable depth-based tree generation
- Pattern-based file/directory exclusion
- Clean and readable tree output format
Detailed Setup
Local Development Setup
-
Clone and install:
git clone https://github.com/andredezzy/deep-directory-tree-mcp.git cd deep-directory-tree-mcp bun install -
Build and run:
# Development mode with hot reload bun dev # Production mode bun build bun start
Troubleshooting
-
Tree Visualization Issues
- Ensure proper file permissions
- Check workspace path configuration
- Verify file system event listeners are active
-
Permission Issues
- Run with appropriate user permissions
- Check file system access rights
- Verify workspace directory permissions
-
Runtime Issues
- Make sure Bun is installed and up to date:
curl -fsSL https://bun.sh/install | bash bun upgrade
- Make sure Bun is installed and up to date:
Project Structure
deep-directory-tree-mcp/
├── src/ # Source code
│ └── index.ts # Main application entry point
├── .gitignore # Git ignore rules
├── bun.lock # Bun lock file
├── eslint.config.js # ESLint configuration
├── index.ts # Root entry point
├── package.json # Project configuration and dependencies
├── smithery.yaml # Smithery configuration
└── tsconfig.json # TypeScript configuration
Scripts
bun build- Build the projectbun start- Run production serverbun dev- Start development server with hot-reload
Contributing
- Fork the repository
- Create feature branch (
git checkout -b feature/amazing-feature) - Commit changes (
git commit -m 'Add feature') - Push to branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
MIT License - see LICENSE file for details.
Support
For support:
- Open an issue in the GitHub repository
- Check the FAQ
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.