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

Google Search Console MCP

作者:A1-x-Tech版本 1.3.2i★ –i在你的电脑上运行
注册名称io.github.A1-x-Tech/mcp-google-search-console

安装

概览

作者提供的说明(英文原文)

MCP server for the Google Search Console API: search analytics, sitemaps, URL inspection, sites.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN

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
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: GOOGLE_SEARCH_CONSOLE_CLIENT_ID, GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN, GOOGLE_SEARCH_CONSOLE_OAUTH_PORT, GOOGLE_SEARCH_CONSOLE_API_BASE, GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS, GOOGLE_SEARCH_CONSOLE_MAX_RETRIES

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

  • npm已安装 Node.js(用于 npx 命令)

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 …”。

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

{
  "mcpServers": {
    "google-search-console": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-console"
      ],
      "env": {
        "GOOGLE_SEARCH_CONSOLE_CLIENT_ID": "your-value",
        "GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET": "your-value",
        "GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_OAUTH_PORT": "your-value",
        "GOOGLE_SEARCH_CONSOLE_API_BASE": "your-value",
        "GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS": "your-value",
        "GOOGLE_SEARCH_CONSOLE_MAX_RETRIES": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add google-search-console --env GOOGLE_SEARCH_CONSOLE_CLIENT_ID=your-value --env GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET=your-value --env GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN=your-value --env GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN=your-value --env GOOGLE_SEARCH_CONSOLE_OAUTH_PORT=your-value --env GOOGLE_SEARCH_CONSOLE_API_BASE=your-value --env GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS=your-value --env GOOGLE_SEARCH_CONSOLE_MAX_RETRIES=your-value -- npx -y mcp-google-search-console

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": {
    "google-search-console": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-console"
      ],
      "env": {
        "GOOGLE_SEARCH_CONSOLE_CLIENT_ID": "your-value",
        "GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET": "your-value",
        "GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_OAUTH_PORT": "your-value",
        "GOOGLE_SEARCH_CONSOLE_API_BASE": "your-value",
        "GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS": "your-value",
        "GOOGLE_SEARCH_CONSOLE_MAX_RETRIES": "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": {
    "google-search-console": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-console"
      ],
      "env": {
        "GOOGLE_SEARCH_CONSOLE_CLIENT_ID": "your-value",
        "GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET": "your-value",
        "GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_OAUTH_PORT": "your-value",
        "GOOGLE_SEARCH_CONSOLE_API_BASE": "your-value",
        "GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS": "your-value",
        "GOOGLE_SEARCH_CONSOLE_MAX_RETRIES": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • GOOGLE_SEARCH_CONSOLE_CLIENT_ID env
    Google OAuth2 client id (refresh-token flow).
  • GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET 机密 env
    Google OAuth2 client secret (refresh-token flow). Treat it as a secret.
  • GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN 机密 env
    Google OAuth2 refresh token, exchanged for access tokens automatically. Treat it as a secret.
  • GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN 机密 env
    Static OAuth2 access token (~1h lifetime) — alternative to the refresh-token trio, mostly for testing.
  • GOOGLE_SEARCH_CONSOLE_OAUTH_PORT env
    Fixed port for the loopback listener of the in-chat login (127.0.0.1 + PKCE). Set it when the client runs over SSH port forwarding; otherwise a free port is picked per login.
  • GOOGLE_SEARCH_CONSOLE_API_BASE env
    API root override.
  • GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS env
    Per-request timeout in milliseconds.
  • GOOGLE_SEARCH_CONSOLE_MAX_RETRIES env
    Retries on transient errors (429 always; 5xx/network for reads).

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 A1-x-Tech 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 5670 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5670 个服务器的 93% 更新
  • 基础检查结果等于或优于此分类中其他 5670 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

Google Search Console MCP 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:GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.3.2)于3天前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT2个月前更新
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。

Google Search Console MCP

English | Русский

A1 Google Search Console MCP connects an AI app to Google Search Console. Investigate search performance, check whether a URL is indexed, inspect sitemaps and deliberately submit or remove a sitemap when needed.

It works with the properties your Google account can access. The important detail is that it uses the exact Search Console property value — a domain property and a URL-prefix property are different objects.

  • 18 tools. Seven tools read properties, search data, sitemaps and index status; two add a property or submit a sitemap; three can remove data or call an arbitrary API method.
  • Connects from the conversation. Say "connect Google Search Console": the server walks you through the OAuth client, catches Google's redirect on 127.0.0.1 with PKCE and keeps the tokens itself — no config files, no restart.
  • Exact property IDs. https://example.com/, https://www.example.com/ and sc-domain:example.com are distinct. list_sites shows the value to use.
  • Search data with context. Query clicks, impressions, CTR and position by date, page, query, country, device or search appearance.
  • Indexing, not publishing. URL inspection explains Google’s current status; it does not force a page into the index.

Start with a read-only question:

Show the top 20 search queries for my property over the last 28 days, with clicks and CTR.

Connect the server · Explore use cases · Open technical documentation


See it work in a minute

You: Is https://example.com/pricing indexed? If not, why?

Assistant: Inspects the URL and shows the index verdict, coverage, crawl information and canonical URLs. Nothing changes.

You: Check my submitted sitemaps and prepare a resubmission for the one with errors.

Assistant: Shows the sitemap, its warnings and errors, then asks for confirmation before submitting it again.

You: Confirm.

Assistant: Resubmits the selected sitemap. It does not change page content or guarantee indexing.

Contents

  • Quick start
  • What you can ask it to do
  • How Search Console properties work
  • What can change
  • Getting access
  • Configuration
  • Data, limits and background work
  • Technical documentation
  • Support

Quick start

You need Node.js 20+ and a Google account. Credentials are not required at install time — the server connects from the conversation.

  1. Add the server to your AI app.
  2. Say "connect Google Search Console": the assistant walks you through creating the OAuth client and approving access without editing config files.
  3. Start with the read-only question above.

Codex

<<<<<<< Updated upstream In the app: open Settings → MCP servers, select Add server, choose STDIO, enter the command npx -y mcp-google-search-console@latest and environment variables GOOGLE_SEARCH_CONSOLE_CLIENT_ID, GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, then select Save and Restart. ||||||| Stash base In the app: open Settings → Plugins → MCP servers, choose Add server, then add npx -y mcp-google-search-console@latest with GOOGLE_SEARCH_CONSOLE_CLIENT_ID, GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET and GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN. ======= In the app: open Settings → Plugins → MCP servers, choose Add server, then add npx -y mcp-google-search-console@latest.

>>>>>> Stashed changes

codex mcp add google-search-console \

-- npx -y mcp-google-search-console@latest codex mcp list

Codex MCP documentation

Claude Code

claude mcp add \

--transport stdio --scope user google-search-console \ -- npx -y mcp-google-search-console@latest claude mcp list

Claude Code MCP documentation

Claude Desktop

The current official path is Settings → Extensions. For a custom desktop extension, open Advanced settings → Extension Developer → Install Extension…, select a .mcpb file and follow the prompts.

This repository currently publishes an npm stdio package and does not contain a .mcpb bundle. For Claude Desktop builds that still support local configuration, use the following JSON stdio configuration as a fallback:

{"mcpServers":{"google-search-console":{"command":"npx","args":["-y","mcp-google-search-console@latest"]}}}

In those builds, save it to ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows.

Claude Desktop MCP documentation

Cursor

Add to ~/.cursor/mcp.json on macOS/Linux or %USERPROFILE%\.cursor\mcp.json on Windows:

{"mcpServers":{"google-search-console":{"type":"stdio","command":"npx","args":["-y","mcp-google-search-console@latest"]}}}

Cursor MCP documentation

VS Code

Run MCP: Open User Configuration and add:

{"servers":{"google-search-console":{"type":"stdio","command":"npx","args":["-y","mcp-google-search-console@latest"]}}}

Check it with MCP: List Servers. VS Code MCP documentation

What you can ask it to do

Find search opportunities
  • Which queries and pages brought the most clicks this month?
  • Which pages lost clicks compared with the previous period?
  • Show queries containing mcp where average position is below 10.
Check index status and sitemaps
  • Is this URL indexed? Show coverage, crawl and canonical information.
  • Which submitted sitemaps have errors or warnings?
  • Resubmit this sitemap after showing its current status.
Manage properties carefully
  • List the Search Console properties I can access.
  • Add this exact property value; I will verify ownership separately.
  • Remove this property from my account after confirmation.

How Search Console properties work

A URL-prefix property must include its protocol and trailing slash, for example https://example.com/. A domain property is written as sc-domain:example.com. A near-match causes 403 or 404, so use the exact value returned by list_sites.

add_site only registers a property. Verification remains in the Search Console UI or Site Verification API. Search data uses Pacific Time; end_date is inclusive and final analytics data typically lags by two to three days. data_state: "all" can include fresher, still-changing rows.

What can change

OperationWhat happensConfirmation boundary
List properties, analytics, sitemaps and URL statusReads Search Console dataNo change
Add a propertyAdds a property entry; does not verify itChanges account access
Submit or resubmit a sitemapRequests processing of a sitemapChanges Search Console state
Delete a propertyUnlinks the property from the account; Google data is not deletedDestructive
Delete a sitemapRemoves a submitted sitemapDestructive
Raw API requestMay call a write or delete endpointPotentially destructive

The AI client controls confirmation prompts. The server marks reads, writes and destructive calls so the client can distinguish an inspection from a real change.

Getting access

Google Search Console requires OAuth 2.0; an API key is not enough. There are two ways in, and the first one needs no configuration files.

Connect from the chat (recommended)

Say "connect Google Search Console" and the assistant runs the flow with you:

  1. setup_instructions prints the checklist: create or select a Google Cloud project, enable Google Search Console API, configure the consent screen and create a Desktop app OAuth client.
  2. Download that client's JSON ("Download JSON") and give the assistant its path — set_client stores it owner-only. The secret never goes through the conversation.
  3. start_login returns a Google consent link. Open it on this machine and approve; the code comes back to a one-shot listener on 127.0.0.1 (PKCE), never through the chat.
  4. finish_login exchanges the code and saves the tokens to ~/.config/mcp-google-search-console/credentials.json (mode 0600) and verifies them with a real Google Search Console API call — so an API that is still switched off is caught right there.

The tokens are re-read on every call, so the connection works immediately — no restart of the AI app. auth_status shows what is connected, logout revokes and deletes it.

Environment variables (CI, unattended installs)
  1. Create or select a Google Cloud project and enable Google Search Console API.
  2. Configure the OAuth consent screen and create a Desktop app OAuth client.
  3. Use the OAuth 2.0 Playground with Use your own OAuth credentials to authorize the Google account that can access the properties and obtain a refresh token.
  4. Use https://www.googleapis.com/auth/webmasters to include sitemaps and property changes. Use https://www.googleapis.com/auth/webmasters.readonly only if you intentionally need read-only access.

Testing-mode refresh tokens can expire after seven days. Publish the OAuth app, or use an Internal Workspace app, for long-lived access. Treat the client secret and refresh token as passwords.

Configuration

Every variable is optional — with none of them the server connects from the chat.

VariableRequiredDescription
GOOGLE_SEARCH_CONSOLE_CLIENT_IDNo*OAuth client ID.
GOOGLE_SEARCH_CONSOLE_CLIENT_SECRETNo*OAuth client secret.
GOOGLE_SEARCH_CONSOLE_REFRESH_TOKENNo*OAuth refresh token.
GOOGLE_SEARCH_CONSOLE_ACCESS_TOKENNo*Short-lived alternative to the OAuth trio.
GOOGLE_SEARCH_CONSOLE_OAUTH_PORTNoFixed loopback port for the in-chat login; useful over SSH port forwarding.
GOOGLE_SEARCH_CONSOLE_API_BASENoAPI base URL override.
GOOGLE_SEARCH_CONSOLE_TIMEOUT_MSNoPer-request timeout; default 60000 ms.
GOOGLE_SEARCH_CONSOLE_MAX_RETRIESNoTemporary-error retries; default 3.

\* Provide either the OAuth trio or an access token.

Data, limits and background work

  • Privacy. The local server calls Google and sends anonymous telemetry with an installation ID, versions and tool names — never OAuth tokens, property data, tool arguments or prompts. For each tool call it also sends the outcome and, on failure, an excerpt of the error text with e-mails, addresses, tokens, numb

只显示了开头部分;其余内容请在仓库中阅读

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