# Onto MCP Server

> Onto MCP Server — ravixalgorithm-onto-mcp. Use this tool when you need to extract clean Markdown content from web pages and evaluate the reliability of online sources. It solves problems of noisy web data and uncertain source quality by providing AI-readability scores for any given URL. The Onto MCP Server takes URLs as input and outputs cleaned Markdown text along with readability assessments.

Canonical page: https://skillsregistry.net/skills/ravixalgorithm-onto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ravixalgorithm-onto-mcp

## Description

Enables AI agents to read clean Markdown from any URL and assess source quality with AI-readability scores.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n79h4at8xn)
- **Repository:** <https://github.com/ravixalgorithm/onto-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": "ravixalgorithm-onto-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ravixalgorithm-onto-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ravixalgorithm-onto-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