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。
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Google Gsc

作者:mharnett版本 1.0.1i★ –i在你的电脑上运行
注册名称io.github.mharnett/google-gsc

安装

概览

作者提供的说明(英文原文)

Google Search Console MCP: search analytics, URL inspection, site management.

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: 营销与社交媒体
  • 你需要填写:GOOGLE_APPLICATION_CREDENTIALS

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_APPLICATION_CREDENTIALS

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-gsc": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-gsc"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add google-gsc --env GOOGLE_APPLICATION_CREDENTIALS=your-value -- npx -y mcp-google-gsc

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-gsc": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-gsc"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "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-gsc": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-gsc"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "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_APPLICATION_CREDENTIALS 必填 env
    Path to service account JSON credentials file

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 mharnett 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“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 3568 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3568 个服务器的 5% 更新
  • 基础检查结果等于或优于此分类中其他 3568 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 Gsc 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_APPLICATION_CREDENTIALS

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(1.0.1)于7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。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: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:★ 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

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

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

在你的电脑上运行★ 244MIT10天前更新
安装

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

在云端运行★ 137MIT11天前更新
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。

mcp-google-gsc

MCP server for Google Search Console -- search analytics, URL inspection, and site management via Claude.

Features

  • Search Analytics -- Query clicks, impressions, CTR, and position with flexible dimension filters (query, page, device, country, date)
  • URL Inspection -- Check indexing status, mobile usability, and rich results for any URL
  • Site Listing -- List all verified Search Console properties accessible to your authenticated account (OAuth user or service account)
  • Multi-Client Support -- Manage multiple GSC properties with per-directory config mapping

Installation

From npm
npm install mcp-google-gsc
From source
git clone https://github.com/mharnett/mcp-search-console.git

cd mcp-google-gsc npm install npm run build

Configuration

Security: Never share your .mcp.json file or commit it to git -- it may contain API credentials. Add .mcp.json to your .gitignore.

mcp-gsc supports two authentication modes. Pick whichever fits your setup. Neither requires any file living at a hardcoded machine-local path -- credentials come from environment variables (or a config.json you create).

Which mode to use:

  • Service Account (Mode B) -- recommended for unattended / server / headless use. A service account has no interactive login to expire or re-consent, so it is the right fit for always-on deployments. The one setup requirement is that the service account's email must be granted access on each Search Console property you want to query (see Mode B).
  • User OAuth (Mode A) -- for personal / interactive use, where you want to authorize with your own Google login.

Precedence when both are configured: if a service-account keyfile is explicitly set (GOOGLE_APPLICATION_CREDENTIALS, or credentials_file in config.json), it wins over any OAuth refresh token or stored OAuth credentials. If neither is configured, the server fails loudly at startup with an onboarding message rather than silently guessing -- there is no machine-local default and no silent runtime failover between modes.

Mode A: User OAuth (bring your own Google account)

Use this if you want to authorize with your own Google login (the account that has Search Console access). Best for personal / interactive use.

  1. In the Google Cloud Console, create an OAuth 2.0 Client ID of type Desktop app and enable the Search Console API. (For a Desktop-app client, Google accepts any http://localhost loopback redirect -- you do not need to pre-register a port.)
  2. Export your client credentials:
   export GOOGLE_GSC_CLIENT_ID=...apps.googleusercontent.com

export GOOGLE_GSC_CLIENT_SECRET=...

3. Mint a refresh token (opens your browser, uses PKCE + `access_type=offline`):
   node get-refresh-token.cjs

Do not redirect this command's stdout to a shared log -- it prints the refresh token to stdout by design.

  1. Copy the printed line into your environment:
   export GOOGLE_GSC_REFRESH_TOKEN=...

The server reads GOOGLE_GSC_CLIENT_ID, GOOGLE_GSC_CLIENT_SECRET, and GOOGLE_GSC_REFRESH_TOKEN from the environment at runtime.

Alternatively, run the guided helper npx mcp-gsc-auth, which performs the same PKCE OAuth flow, lets you pick a default Search Console property, and writes the result to a per-user credentials file.

Mode B: Service Account (recommended for unattended / server use)

Use this for server / headless / always-on contexts -- it is the recommended path when no human is present to complete or refresh an interactive login.

  1. Create a Google Cloud service account with Search Console API access and download its JSON key file.
  2. Grant the service account's email access on each Search Console property you want to query (add it as a user in Search Console). Without this grant on the property, the service account can authenticate but will see no sites.
  3. Point the server at the key file via an environment variable (no hardcoded path):
   export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/service-account-key.json
OAuth scope

Both modes request a single, read-only scope: https://www.googleapis.com/auth/webmasters.readonly. All four tools are reads -- nothing writes -- so the server never asks for read/write access.

The scope is defined once in config.json under oauth.scope (see config.example.json). The OAuth helper and the runtime read the same value, so they never drift. If config.json is absent (e.g. a fresh install), the committed read-only default is used.

Multi-client config (optional)

To map working directories to Search Console properties, create a config.json in the project root (see config.example.json):

{

"oauth": { "scope": "https://www.googleapis.com/auth/webmasters.readonly" }, "clients": { "my-project": { "name": "My Project", "folder": "/path/to/project", "site_url": "https://example.com/" } } }

Usage

Add to your Claude Code .mcp.json:

{

"mcpServers": { "gsc": { "command": "node", "args": ["/path/to/mcp-gsc/dist/index.js"] } } }

Or if installed globally:

{

"mcpServers": { "gsc": { "command": "npx", "args": ["mcp-google-gsc"] } } }

Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Tools

ToolDescription
gsc_get_client_contextDetect the GSC property from your working directory based on config mapping
gsc_list_sitesList all verified Search Console properties accessible to the authenticated account
gsc_search_analyticsQuery search performance data (clicks, impressions, CTR, position) with dimension and filter support
gsc_inspectionInspect a URL for indexing status, mobile usability, and rich results
gsc_search_analytics

Supports dimensions: query, page, device, country, date. Filter by any dimension with operators like equals, contains, notContains. Date range defaults to the last 28 days.

gsc_inspection

Returns index coverage, crawl status, mobile usability verdict, and rich result details for a specific URL within a property.

Architecture

  • Resilience -- Uses cockatiel for retry with exponential backoff and circuit breaker patterns on all Google API calls
  • Logging -- Structured logging via pino with configurable log levels
  • Response Handling -- Responses truncated at 200KB to stay within MCP transport limits

License

MIT -- see LICENSE.


Built by Mark Harnett / drak-marketing

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