# Toon Fetch MCP Server

> Use this tool when you need to convert web page content into a structured format for AI agent consumption. It fetches web pages, converts content to Markdown, and optionally applies local Large Language Model (LLM) processing, outputting TOON format data. Ideal for use cases requiring web data integration, text analysis, or knowledge graph construction, with inputs of web page URLs and outputs of structured TOON data.

Canonical page: https://skillsregistry.net/skills/v3nom-toon-fetch  
JSON: https://api.skillsregistry.net/v1/skills/v3nom-toon-fetch

## Description

Fetches web page content, converts it to Markdown, and optionally processes it with a local LLM. Returns structured data in TOON format optimized for agent consumption.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bwq2foglpr)
- **Repository:** <https://github.com/v3nom/toon-fetch>

## 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": "v3nom-toon-fetch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/v3nom-toon-fetch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/v3nom-toon-fetch/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