# docsmcp

> docsmcp — ropali-docsmcp. Use this tool when you need to convert unstructured webpage content into a format suitable for large language models (LLMs). It solves the problem of preparing web data for AI model training and inference by extracting relevant information and structuring it for LLM consumption. The tool takes a webpage as input and outputs formatted context that can be easily integrated with LLMs, streamlining the process of leveraging web data for AI applications.

Canonical page: https://skillsregistry.net/skills/ropali-docsmcp  
JSON: https://api.skillsregistry.net/v1/skills/ropali-docsmcp

## Description

Turn any webpage into LLM-ready context

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ropali/docsmcp)

## 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": "ropali-docsmcp"
    }
  }
}
```

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