# Smart Tree

> Use this tool when you need to visualize and analyze complex directory structures, and solve problems related to file system exploration, content discovery, and project understanding. Smart Tree provides AI-optimized outputs in various formats, including quantum compression and semantic analysis, and accepts directory structures as input. It is particularly useful for AI assistants and large codebase analysis, offering advanced features like real-time streaming and context-aware intelligence.

Canonical page: https://skillsregistry.net/skills/smart-tree  
JSON: https://api.skillsregistry.net/v1/skills/smart-tree

## Description

Smart Tree is a Rust-based directory visualization and analysis tool built by 8b-is that provides AI-optimized file system exploration through multiple output formats including quantum compression, semantic analysis, and streaming modes. The implementation features over 20 MCP tools for directory analysis, file searching, content discovery, and project understanding, with specialized formats like MEM8 binary encoding that achieves 90-95% size reduction compared to traditional text formats. Designed for AI assistants and large codebase analysis, it includes advanced features like context-aware intelligence, temporal file analysis, smart editing capabilities with tree-sitter integration, and real-time SSE streaming for handling massive directory structures efficiently.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/smart-tree)
- **Repository:** <https://github.com/8b-is/smart-tree>

## 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": "smart-tree"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smart-tree` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smart-tree/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