Onto

Name: Onto
Author: ravixalgorithm

作者：ravixalgorithm版本 1.5.2i★ –i电脑或云端

注册名称io.github.ravixalgorithm/onto

安装

概览

作者提供的说明（英文原文）

Clean Markdown and AI-readability scoring for any URL. Built for AI agents.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 其他
你需要填写：ONTO_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： ONTO_API_KEY, ONTO_API_BASE

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://api.buildonto.dev/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "onto": {
      "command": "npx",
      "args": [
        "-y",
        "@ontosdk/mcp"
      ],
      "env": {
        "ONTO_API_KEY": "your-value",
        "ONTO_API_BASE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http onto https://api.buildonto.dev/mcp

或者在你的电脑上运行

claude mcp add onto --env ONTO_API_KEY=your-value --env ONTO_API_BASE=your-value -- npx -y @ontosdk/mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "onto": {
      "url": "https://api.buildonto.dev/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "onto": {
      "command": "npx",
      "args": [
        "-y",
        "@ontosdk/mcp"
      ],
      "env": {
        "ONTO_API_KEY": "your-value",
        "ONTO_API_BASE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "onto": {
      "type": "http",
      "url": "https://api.buildonto.dev/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "onto": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ontosdk/mcp"
      ],
      "env": {
        "ONTO_API_KEY": "your-value",
        "ONTO_API_BASE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://api.buildonto.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

ONTO_API_KEY 机密必填 env
Your Onto API key (get one at https://app.buildonto.dev/read/keys — free tier includes 1,000 credits/month).
ONTO_API_BASE env
Optional override for the Onto API base URL. Defaults to https://api.buildonto.dev.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 ravixalgorithm 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32545 个服务器的 0%
发布到注册中心的时间比此分类中其他 32545 个服务器的 33% 更新
基础检查结果等于或优于此分类中其他 32545 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Onto 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：ONTO_API_KEY

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.5.2）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Python MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

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作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

Python MCP

作者：Files-com

Local-only Python MCP server for the Files.com API.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Onto MCP Server

The official Onto Model Context Protocol server. Add clean web content reading and AI-readability scoring to Claude Code, Cursor, Cline, Zed, or any MCP-compatible AI client.

What this does

Onto's MCP server exposes these tools to any AI agent:

`read_url` — Read any URL and get back clean, agent-ready Markdown (typically 10× smaller than raw HTML)
`score_url` — Get the AIO (AI-readability) score for any URL with a breakdown of what helps and what hurts AI consumption
`read_and_score` — Both at once: clean content plus quality assessment so the agent knows how much to trust the source
`batch` — Read, score, or extract many URLs (an explicit list or a whole site) in one call
`map_site` — Discover a site's URLs via its sitemap, without reading them
`extract_data` — Return the structured data a page already declares (JSON-LD, OpenGraph, meta)

Every tool response ends with a one-line ⚡ Onto report — reduction, tokens saved, and AIO score — so the value is visible on every call.

This is the official MCP wrapper for the Onto Read API. It's a thin, deterministic layer: Onto cleans and scores with a rule-based engine (no LLM in the loop), so your agent's own model never has to parse raw HTML.

Why use this?

When AI agents read websites today, they parse hundreds of KB of React noise to find a few KB of actual content. This burns tokens and causes hallucinations.

Onto strips the noise server-side, returns the agent-ready format, and reports a confidence score for the source. One tool call, one accurate answer.

Quick start

1. Get an Onto API key

Free tier: 1,000 credits / month. No credit card.

2. Install in Claude Code

Add to your Claude Code MCP config:

"mcpServers": { "onto": { "command": "npx", "args": ["-y", "@ontosdk/mcp@latest"], "env": { "ONTO_API_KEY": "onto_sk_live_your_key_here" } } } }

Restart Claude Code. The Onto tools (read_url, score_url, read_and_score, batch, map_site, extract_data) will appear in the available tools list.

3. Install in Cursor

Add the Onto server to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this repo). Or use the UI: Customize (sidebar) → MCPs → add a custom server, same JSON.

"mcpServers": { "onto": { "command": "npx", "args": ["-y", "@ontosdk/mcp@latest"], "env": { "ONTO_API_KEY": "onto_sk_live_your_key_here" } } } }

Fully quit Cursor (Cmd+Q / Ctrl+Q) and reopen.

See examples/ for Cline, Zed, and Continue configs.

4. Use it

In Claude Code or Cursor, try:

Read https://stripe.com/pricing using Onto and summarize the pricing tiers.

The agent calls read_url, gets clean Markdown, and returns an accurate summary without parsing hundreds of KB of layout HTML.

Tools

`read_url`

Returns clean Markdown for a URL with metadata about the extraction (sizes, reduction %, cache state).

Input:

Field	Type	Required	Description
`url`	string	yes	Publicly accessible HTTP(S) URL
`fresh`	boolean	no	If true, bypass cache (default: false)

`score_url`

Returns the AIO (AI-readability) score for a URL — 0-100 with a letter grade, hallucination risk, and a structured list of penalties / benefits / recommendations.

Input:

Field	Type	Required	Description
`url`	string	yes	URL to score

`read_and_score`

Returns clean Markdown plus the AIO score in one call. Recommended default for agentic workflows.

Input: same as read_url.

`batch`

Process many URLs in one call. N credits — one per URL in the list after the list is known. Failed URLs (ok: false) are refunded. Default mode read-and-score is still N, not 2N. Give an explicit list or a base URL whose pages are auto-discovered.

Input:

Field	Type	Required	Description
`urls`	string[]	one of	Explicit list of URLs (max 50). Use this or `site`.
`site`	string	one of	Base URL whose pages are auto-discovered via sitemap. Use this or `urls`.
`mode`	`"read"` \	`"read-and-score"` \	`"extract"`	no	What to do per URL (default `"read-and-score"`)
`limit`	number	no	Site mode only: max pages to discover (default 25, max 50)

`map_site`

Discover a site's URLs (sitemap → on-page links) without reading them. 1 credit per call (not per discovered URL) — use it to plan which pages to read or batch next.

Input:

Field	Type	Required	Description
`url`	string	yes	Base URL of the site to map
`limit`	number	no	Max URLs to return (default 100, max 1000)

`extract_data`

Return the structured data a page already declares — JSON-LD, OpenGraph, and meta tags — plus the AIO score. Deterministic; no fields are inferred by a model.

Input:

Field	Type	Required	Description
`url`	string	yes	URL to extract structured data from

Pricing

Tier	Monthly credits	Price
Free	1,000	$0
Starter	10,000	$9
Growth	100,000	$49
Scale	500,000	$250
Enterprise	Custom	Contact sales

MCP tool credits match the live API meter:

Tool	Credits
`read_url`	1
`read_and_score`	1
`score_url`	0 (free)
`extract_data`	1
`map_site`	1 per call (not per discovered URL)
`batch`	N — one per URL in the list after the list is known; failed URLs (`ok: false`) are refunded. Default mode `read-and-score` is still N, not 2N

Connect / OAuth is not a debit.

Manage your subscription at app.buildonto.dev/read/billing. Credit packs ($5–$200) are available for overflow once you're on a paid tier.

Configuration

Environment variables:

ONTO_API_KEY (required) — Your Onto API key from app.buildonto.dev/read/keys
ONTO_API_BASE (optional) — Override the API base URL (default: https://api.buildonto.dev)

Troubleshooting

"Invalid Onto API key"

Verify your key at app.buildonto.dev/read/keys. If you recently rotated keys, your MCP config may have a stale value.

"Monthly quota exceeded"

You've used your monthly allotment. Upgrade at app.buildonto.dev/read/billing or wait for the monthly reset. Paid tiers can also top up with credit packs.

Tool doesn't appear in Claude Code / Cursor

Verify the config file is valid JSON
Restart the MCP host (Claude Code, Cursor, etc.)
Check the host's MCP logs for connection errors
Make sure npx is on your PATH

"Request timed out"

The target site may be slow or unreachable. Onto's request timeout is 15 seconds. Retry, or try a different URL.

About Onto

Onto is the compatibility layer for the agent web. Three products on one engine:

Read (this MCP server + API) — AI developers read any URL cleanly
Serve (Next.js SDK) — Site owners serve clean Markdown to AI crawlers
Act (coming Q3 2026) — Agents act on websites through semantic intent

Built for AI agents reading the web. Built so they read it correctly.

License

MIT

Onto

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“其他”中的其他服务器比较i

常见问题

替代选择

Spec Driven Development

Remote Desktop Commander

Python MCP

作者的 README

Onto MCP Server

What this does

Why use this?

Quick start

1. Get an Onto API key

2. Install in Claude Code

3. Install in Cursor

4. Use it

Tools

read_url

score_url

read_and_score

batch

map_site

extract_data

Pricing

Configuration

Troubleshooting

"Invalid Onto API key"

"Monthly quota exceeded"

Tool doesn't appear in Claude Code / Cursor

"Request timed out"

Links

About Onto

License

`read_url`

`score_url`

`read_and_score`

`batch`

`map_site`

`extract_data`