# Averra Extract MCP

> Use this tool when you need to convert webpage content into clean Markdown for large language models (LLMs). It solves the problem of preprocessing unstructured web data for AI agents like Claude, Cursor, and ChatGPT, providing a streamlined interface for inputting webpage URLs and outputting LLM-ready Markdown. This tool is ideal for use cases requiring efficient web data extraction and formatting for downstream AI tasks.

Canonical page: https://skillsregistry.net/skills/swwyymm-averra-extract-mcp  
JSON: https://api.skillsregistry.net/v1/skills/swwyymm-averra-extract-mcp

## Description

MCP server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.

## Trust

- **Trust score (0–1):** 0.96
- **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:** [Glama](https://glama.ai/mcp/servers/z5lywsym11)
- **Repository:** <https://github.com/Swwyymm/averra-extract-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": "swwyymm-averra-extract-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swwyymm-averra-extract-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swwyymm-averra-extract-mcp/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