# DocsFetcher

> Use this tool when you need to access and process npm package documentation for large language models (LLMs). DocsFetcher solves the problem of manually searching for and retrieving package documentation, providing a streamlined interface for fetching and presenting relevant information. It takes npm package names as input and outputs the corresponding documentation, making it ideal for use cases where LLMs require accurate and up-to-date package information.

Canonical page: https://skillsregistry.net/skills/cdugo-mcp-get-docs  
JSON: https://api.skillsregistry.net/v1/skills/cdugo-mcp-get-docs

## Description

Fetch npm package documentation and present it for LLMs.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/cdugo/mcp-get-docs)

## 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": "cdugo-mcp-get-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdugo-mcp-get-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdugo-mcp-get-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