# Directory Visualization

> Use this tool when you need to visualize and analyze directory structures, generating project file hierarchies and understanding codebases. It solves problems such as project overview generation, dependency analysis, and file organization reasoning, accepting file paths and glob patterns as inputs and producing directory trees and structure representations as outputs. Ideal for applications requiring programmatic comprehension of directory structures, such as AI-powered documentation generation and codebase analysis.

Canonical page: https://skillsregistry.net/skills/sunwood-ai-labs-directory-visualization  
JSON: https://api.skillsregistry.net/v1/skills/sunwood-ai-labs-directory-visualization

## Description

This directory structure visualization MCP server, developed by Sunwood AI Labs, provides tools for generating and analyzing project file hierarchies. It integrates with the glob and ignore libraries to offer flexible file matching and exclusion capabilities. The server exposes functions for building directory trees, generating structure representations, and handling tool requests. By connecting AI capabilities with project structure analysis, this implementation enables assistants to understand codebases, generate documentation, and reason about file organization. It is particularly useful for applications requiring project overview generation, dependency analysis, or any scenario where an AI system needs to comprehend and work with directory structures programmatically.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sunwood-ai-labs-directory-visualization)
- **Repository:** <https://github.com/sunwood-ai-labs/source-sage-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sunwood-ai-labs-directory-visualization"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sunwood-ai-labs-directory-visualization` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sunwood-ai-labs-directory-visualization/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt