# Fetch (Mozilla Readability)

> Use this tool when you need to extract clean and structured content from web pages, removing ads and non-essential elements to optimize for large language model (LLM) processing. It takes HTML webpage content as input and returns well-formatted Markdown, along with article metadata, making it ideal for tasks like summarization, analysis, and information extraction. This tool is particularly useful for reducing token usage and ensuring consistent formatting in LLM workflows.

Canonical page: https://skillsregistry.net/skills/emzimmer-mozilla-readability-parser  
JSON: https://api.skillsregistry.net/v1/skills/emzimmer-mozilla-readability-parser

## Description

This Mozilla Readability Parser MCP server, created by Max Zimmer, extracts and transforms webpage content into clean, LLM-optimized Markdown. It uses Mozilla's Readability algorithm to remove ads, navigation, and non-essential elements while preserving core content structure. The server converts HTML to well-formatted Markdown, returns article metadata, and handles errors gracefully. It integrates with the Model Context Protocol, allowing AI assistants to fetch and parse web content efficiently. This implementation is particularly useful for reducing token usage in LLM processing, ensuring consistent formatting, and providing clean, relevant content for tasks like summarization, analysis, or information extraction from web pages.

## Trust

- **Trust score (0–1):** 1.00
- **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/emzimmer-mozilla-readability-parser)
- **Repository:** <https://github.com/emzimmer/server-moz-readability>

## 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": "emzimmer-mozilla-readability-parser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emzimmer-mozilla-readability-parser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emzimmer-mozilla-readability-parser/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