# web2md

> Use this tool when you need to efficiently fetch web page content while minimizing context usage for large language models (LLMs). It converts HTML to Markdown, providing tiered access through outline, section, and search functionality to optimize token efficiency. Ideal for use cases where LLM context limits are a concern, such as web scraping or text analysis applications.

Canonical page: https://skillsregistry.net/skills/gioroddev-web2md  
JSON: https://api.skillsregistry.net/v1/skills/gioroddev-web2md

## Description

Enables token-efficient web page fetching by converting HTML to Markdown with tiered access (outline, section, search) to minimize LLM context usage.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zgtm06log8)
- **Repository:** <https://github.com/gioroddev/web2md>

## 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": "gioroddev-web2md"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gioroddev-web2md` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gioroddev-web2md/pull`

---
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