原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Visibly AI — SEO MCP Server

作者:AntonioBlago版本 0.1.0i★ –i在云端运行
注册名称io.github.AntonioBlago/visibly-ai

安装

概览

作者提供的说明(英文原文)

Remote SEO/GEO MCP: Search Console, keyword research, backlinks, competitor & on-page audits.

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。

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 营销与社交媒体
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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

你用的是哪个应用?

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 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http visibly-ai https://mcp.visibly-ai.com/mcp --header 'Authorization: your-value'

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": {
    "visibly-ai": {
      "url": "https://mcp.visibly-ai.com/mcp",
      "headers": {
        "Authorization": "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": {
    "visibly-ai": {
      "type": "http",
      "url": "https://mcp.visibly-ai.com/mcp",
      "headers": {
        "Authorization": "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。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

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

  • Authorization 机密 必填 HTTP header
    Bearer . Get a free key at https://visibly-ai.com

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 AntonioBlago 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“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 3593 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3593 个服务器的 10% 更新
  • 基础检查结果等于或优于此分类中其他 3593 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

Visibly AI — SEO MCP Server 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:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于5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:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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:↓ 每周下载量i★ 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

MCP YouTube Transcript

An MCP server retrieving transcripts of YouTube videos

作者:jkawamoto正在增长★ 49511天前更新

在你的电脑上运行

Google Analytics MCP

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

作者:surendranb正在增长↓ 1088/周★ 24411天前更新

在你的电脑上运行

BibiGPT YouTube Video Summarizer

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

作者:JimmyLv起步阶段★ 13711天前更新

在云端运行✓ bibigpt.co

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。

Claude Code — SEO Agency & Freelancer Starter

A batteries-included Claude Code blueprint for SEO freelancers and agencies. Wire up the Visibly AI MCP, get ready-made slash commands for the full client workflow — Status-Quo → Potential Analysis → Offer → CI-compliant PDF — and a smart hook that nudges Claude toward real SEO data instead of guessing.

Built and battle-tested by [Antonio Blago](https://www.antonioblago.com) — SEO Freelancer & creator of the Neuro-SEO System®.

Quickstart • What's inside • Workflows • CTR Model • Customise • Get a free key • Book a call


Why this exists

SEO consulting is the same five jobs over and over: pull the real ranking data, map it against the client's keyword set, quantify the opportunity, turn that into an offer, and ship a presentable PDF. Claude Code can do all of it — *if* you give it the data sources, the methodology, and the guardrails.

This repo packages exactly that — and it runs without any API key. Install it and the bundled .mcp.json connects to the Visibly AI MCP keyless, giving you the free knowledge tools (keyword classification, SEO checklists, Google guidelines, URL-structure analysis) plus the full local methodology; bring your own Search Console export and the entire Status-Quo → Potential → Offer → PDF chain runs offline. Add a Visibly AI key when you want the data engine on tap — live GSC/GA at 0 credits, keywords, backlinks, competitors and on-page audits through one MCP. Free by default, pro when you need it.

✨ What's inside

PieceWhat it does
`.mcp.json`Pre-wired Visibly AI MCP connection — keyless by default (free knowledge tools); add a key to unlock live GSC, keywords, backlinks, competitors, on-page audits, crawling.
`/visibly-seo-status-quo`Maps a client's live organic visibility: GSC × target keywords, classification, quick wins.
`/visibly-seo-potential`Potential analysis: empirical CTR model → realistic 12-month targets → traffic, lead & ROI math.
`/visibly-seo-offer`Drafts a tailored, phased SEO consulting offer from your analysis + client context.
`/visibly-seo-pdf-build`Turns any analysis script into a clean, brand-compliant PDF.
SEO hookA UserPromptSubmit hook that detects SEO intent and steers Claude to Visibly AI MCP tools instead of generic scraping.
`CLAUDE.md`A project-instruction template encoding the whole workflow + folder conventions.
`docs/`The methodology written out: workflows, the CTR model, and best practices.

🚀 Quickstart

There are two ways to use this — pick one.

Option A — Install as a plugin (fastest)
/plugin marketplace add AntonioBlago/claude-code-seo-starter

/plugin install seo-starter@antonioblago

You get the /visibly-seo-status-quo, /visibly-seo-potential, /visibly-seo-offer, /visibly-seo-pdf-build commands, the auto-invoked SEO skills, the SEO-intent hook, and the keyless Visibly AI MCP — wired in. No key needed to start — approve the MCP server and you have the free knowledge tools plus the full local workflow.

Want the full data engine (live GSC, keywords, backlinks, on-page)? Add a Visibly AI key — grab one at visibly-ai.com (~30s, no card), then connect it once (resolves at write time, stays out of git):

claude mcp add --transport http visiblyai https://mcp.visibly-ai.com/mcp --header "Authorization: Bearer lc_xxxxxxxxxxxxxxxx"

Restart with /reload-plugins if needed. See docs/setup.md for the pro tier, Google-OAuth (0 credits) and optional DataForSEO wiring.

Option B — Clone the template

Use the full repo (docs, PDF template, setup script) as a project scaffold.

1. Prerequisites
  • Claude Code installed with the native installer: curl -fsSL https://claude.ai/install.sh | bash (macOS, Linux, WSL) or irm https://claude.ai/install.ps1 | iex (Windows PowerShell). New to Claude Code? Start with claude-homebase: /homebase sets up your global CLAUDE.md and project structure, then pick the SEO path to land here.
  • *(Optional)* a Visibly AI account for the pro tier — [sign up free](https://visibly-ai.com). Not required: the starter runs keyless.
  • Python 3.11+ (only needed for the PDF / data-crunching helpers)
2. Get the blueprint
# Use it as a GitHub template, or just clone:

git clone https://github.com/AntonioBlago/claude-code-seo-starter.git cd claude-code-seo-starter

3. (Optional) add your Visibly AI key

Skip this for the free tier — the keyless .mcp.json already works. To unlock the full data engine, create a free account at [visibly-ai.com](https://visibly-ai.com), copy your lc_... key, and connect it once (resolves at write time, stays out of git):

claude mcp add --transport http visiblyai https://mcp.visibly-ai.com/mcp --header "Authorization: Bearer lc_xxxxxxxxxxxxxxxx"

Full tier breakdown, Google-OAuth (live GSC/GA at 0 credits) and optional DataForSEO wiring: [`docs/setup.md`](docs/setup.md).

4. Launch
claude

On first run, Claude Code will ask you to approve the Visibly AI MCP server. Approve it, then try:

/visibly-seo-status-quo example.com

That's it. On the free tier, feed a GSC export to the Python templates; with a key, data is pulled live. Either way you're running the full SEO workflow.

🔁 The workflows

Each slash command corresponds to one phase of a real client engagement. They chain:

/visibly-seo-status-quo <domain>   →   /visibly-seo-potential <domain>   →   /visibly-seo-offer <domain>   →   /visibly-seo-pdf-build <script.py>

(where do we (what's the upside, (what should the (hand the client a rank today?) in clicks & €?) client buy?) polished PDF)

Full methodology is documented in [`docs/workflows.md`](docs/workflows.md).

📈 The CTR model

The potential analysis is only as good as its click-through-rate curve. This repo ships the [Keyword Study 2026](https://www.antonioblago.com/keyword-study-2026-organic-search-ctr) — CTR by position from first-party Google Search Console data (1.3M keywords, 94 domains) — instead of the inflated textbook numbers most templates still use.

The differentiator: the curve is intent-aware. A navigational keyword at position 1 earns ~8.9% CTR; an informational one ~3.2%. Forecasting with one blended number quietly mis-states the upside. See [`docs/ctr-model.md`](docs/ctr-model.md) for the full intent-by-position table and the Python to apply it. Honest inputs → defensible forecasts → offers that survive scrutiny.

🔍 Transparency — what runs where

No surprises about data flow:

  • Keyless (default): .mcp.json connects to mcp.visibly-ai.com without an account. Only the free knowledge tools respond (checklists, guidance, Google guidelines, keyword classification, URL-structure checks) — no client data involved.
  • With a key: the data tools (query_search_console, query_analytics, keywords, backlinks, on-page) route through the Visibly AI backend, hosted on Railway in the EU. Your GSC/GA data passes through that backend to reach Claude — that's the product, not a side effect. And it takes three explicit opt-ins before a single GSC row can flow: create a Visibly account, add your API key, and connect your Google account via OAuth inside Visibly. Without the Google consent, query_search_console has no property to read. Not acceptable for a client? Don't add the key: feed a GSC export to the local Python templates instead — the full workflow still runs.
  • Permissions: .claude/settings.json auto-allows only metadata and the free knowledge tools. Every tool that reads client data (GSC, GA, keywords, backlinks, on-page, crawling) sits in ask — Claude prompts before using it.
  • The hook (.claude/hooks/seo-check.sh) runs locally, sends nothing anywhere, and only injects a reminder to use real data instead of guessing when your prompt looks SEO-related. Don't want the nudge? Delete the hook.

🎨 Customise it

Everything is plain Markdown and shell — fork and adapt:

  • Branding — edit CLAUDE.md and templates/pdf_example.py with your colours, fonts, contact block.
  • Data source — keyless by default; add a Visibly key for the full engine, or wire your own (GSC export → Python templates, DataForSEO, GA4, Ahrefs…) in .mcp.json. See docs/setup.md. Free walkthrough for building your own GSC access from scratch: Indexing Checker für die Google Search Console (German).
  • Workflows — the .claude/commands/*.md files *are* the workflows. Rewrite them in your own words.
  • Guardrails — extend .claude/hooks/seo-check.sh with your own keyword triggers.

See [`docs/setup.md`](docs/setup.md) for a deeper walkthrough and [`docs/best-practices.md`](docs/best-practices.md) for the hard-won lessons.

📂 Repo layout

claude-code-seo-starter/

├── .claude-plugin/ # makes this repo an installable plugin + marketplace │ ├── plugin.json # plugin manifest │ └── marketplace.json # marketplace catalog (one repo = both) ├── .mcp.json # Visibly AI MCP connection — keyless (free tools); add key for pro ├── server.json # MCP-registry manifest (publish via mcp-publisher) ├── .env.example # copy → .env — optional key + separate data sources ├── CLAUDE.md # project instructions Claude reads on every run ├── .claude/ │ ├── commands/ # /visibly-seo-status-quo /visibly-seo-potential /visibly-seo-offer /visibly-seo-pdf-build │ ├── skills/ # auto-invoked SEO skills (status-quo, potential, offer, pdf) │ ├── hooks/ # seo-check.sh + hooks.json — SEO-intent nudge │ └── settings.json # hook registration + permissions (free tools allowed, data tools ask) ├── docs/ │ ├── setup.md # detailed setup │ ├── workflows.md # the 4-phase methodology │ ├── ctr-model.md # empirical CTR curve │ ├── folder-structure.md # client knowledge base + CI base conventions │ ├── best-practices.md # lessons learned │ └── promote.md # discoverability checklist (registry, awesome lists) ├── templates/ │ ├── ci/ # CI base — brand.py (constants) + CI.md (reference) │ ├── client-template/ # copy → clients/ / (CLAUDE.md + _knowledge/) │ ├── status-quo-template.md # fill-in status-quo skeleton (classification, quick wins) │ ├── potential-template.md # fill-in potential skeleton (deltas, clusters, ROI scenarios) │ ├── offer-template.md # fill-in offer skeleton (phases, pricing, ROI, terms, CTA) │ └── pdf_example.py # minimal CI-PDF starter (fpdf2) └── scripts/ └── check-setup.sh # verify your env is wired correctly

Related repos

RepoWhat it adds
claude-homebaseHow to set up Claude Code from scratch: /homebase interviews your role and builds CLAUDE.md, folders, skills and learnings

| [claude-context-guard](https://github.com/AntonioBlago/claude-context-gu

只显示了开头部分;其余内容请在仓库中阅读

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