# Cangje Docs

> Use this tool when you need to scan and search large document collections in real-time, providing AI assistants with instant access to knowledge bases, text archives, and documentation repositories. It solves problems of information retrieval and document management by exposing modular tools for scanning and searching indexed content. Ideal for use cases requiring rapid document analysis and query-based information extraction.

Canonical page: https://skillsregistry.net/skills/ystyle-cangje-docs  
JSON: https://api.skillsregistry.net/v1/skills/ystyle-cangje-docs

## Description

Go-based MCP server providing document scanning and search capabilities, built using the mark3labs/mcp-go framework. Features modular architecture with separate packages for MCP server functionality, document scanning, search operations, and type definitions. Exposes tools for scanning document collections and performing search queries against indexed content. Designed for AI assistants needing access to large documentation repositories, knowledge bases, or text archives in real-time.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ystyle-cangje-docs)
- **Repository:** <https://github.com/ystyle/cangjie-docs-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": "ystyle-cangje-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ystyle-cangje-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ystyle-cangje-docs/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
