# DocNav

> Use this tool when you need to intelligently analyze long-form documents, such as Markdown and PDF files, by breaking them into navigable hierarchical structures. DocNav solves problems of document complexity by providing features like outline generation, section-by-section reading, and content search, enabling LLMs to understand document structure and navigate large texts systematically. It takes in documents and outputs a hierarchical tree structure with auto-generated UUIDs, making it ideal for document analysis workflows that require systematic navigation and understanding of complex texts.

Canonical page: https://skillsregistry.net/skills/docnav  
JSON: https://api.skillsregistry.net/v1/skills/docnav

## Description

DocNav is an MCP server that enables LLMs to intelligently read, navigate, and analyze long-form documents by breaking them into hierarchical tree structures similar to DOM nodes. The implementation supports Markdown and PDF files through pluggable processors, converting documents into navigable sections with auto-generated UUIDs for security, and provides tools for outline generation, section-by-section reading, content search, and contextual navigation with parent-child-sibling relationships. Built with a modular architecture using Python, it's particularly valuable for document analysis workflows where LLMs need to understand document structure and navigate large texts systematically rather than processing them as monolithic blocks.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/docnav)
- **Repository:** <https://github.com/shenyimings/docnav-mcp>

## 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": "docnav"
    }
  }
}
```

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