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:sonnivasquez版本 1.1.0i★ –i在你的电脑上运行
注册名称io.github.sonnivasquez/gsc-mcp

安装

概览

作者提供的说明(英文原文)

Local, read-only Google Search Console MCP server. Quick Connect needs no Cloud project.

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:GSC_OAUTH_CLIENT_SECRET

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: GSC_AUTH_MODE, GSC_ACCESS_MODE, GSC_SITE_URLS, GSC_KEY_FILE, GSC_DATA_DIR, GSC_EXPORTS, GSC_HISTORY, GSC_OAUTH_SECRETS_FILE, GSC_OAUTH_CLIENT_ID, GSC_OAUTH_CLIENT_SECRET, GSC_SCOPES, GSC_ENABLE_WRITE

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": {
    "gsc": {
      "command": "npx",
      "args": [
        "-y",
        "@sonnivasquez/gsc-mcp"
      ],
      "env": {
        "GSC_AUTH_MODE": "your-value",
        "GSC_ACCESS_MODE": "your-value",
        "GSC_SITE_URLS": "your-value",
        "GSC_KEY_FILE": "your-value",
        "GSC_DATA_DIR": "your-value",
        "GSC_EXPORTS": "your-value",
        "GSC_HISTORY": "your-value",
        "GSC_OAUTH_SECRETS_FILE": "your-value",
        "GSC_OAUTH_CLIENT_ID": "your-value",
        "GSC_OAUTH_CLIENT_SECRET": "your-value",
        "GSC_SCOPES": "your-value",
        "GSC_ENABLE_WRITE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add gsc --env GSC_AUTH_MODE=your-value --env GSC_ACCESS_MODE=your-value --env GSC_SITE_URLS=your-value --env GSC_KEY_FILE=your-value --env GSC_DATA_DIR=your-value --env GSC_EXPORTS=your-value --env GSC_HISTORY=your-value --env GSC_OAUTH_SECRETS_FILE=your-value --env GSC_OAUTH_CLIENT_ID=your-value --env GSC_OAUTH_CLIENT_SECRET=your-value --env GSC_SCOPES=your-value --env GSC_ENABLE_WRITE=your-value -- npx -y @sonnivasquez/gsc-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": {
    "gsc": {
      "command": "npx",
      "args": [
        "-y",
        "@sonnivasquez/gsc-mcp"
      ],
      "env": {
        "GSC_AUTH_MODE": "your-value",
        "GSC_ACCESS_MODE": "your-value",
        "GSC_SITE_URLS": "your-value",
        "GSC_KEY_FILE": "your-value",
        "GSC_DATA_DIR": "your-value",
        "GSC_EXPORTS": "your-value",
        "GSC_HISTORY": "your-value",
        "GSC_OAUTH_SECRETS_FILE": "your-value",
        "GSC_OAUTH_CLIENT_ID": "your-value",
        "GSC_OAUTH_CLIENT_SECRET": "your-value",
        "GSC_SCOPES": "your-value",
        "GSC_ENABLE_WRITE": "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": {
    "gsc": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sonnivasquez/gsc-mcp"
      ],
      "env": {
        "GSC_AUTH_MODE": "your-value",
        "GSC_ACCESS_MODE": "your-value",
        "GSC_SITE_URLS": "your-value",
        "GSC_KEY_FILE": "your-value",
        "GSC_DATA_DIR": "your-value",
        "GSC_EXPORTS": "your-value",
        "GSC_HISTORY": "your-value",
        "GSC_OAUTH_SECRETS_FILE": "your-value",
        "GSC_OAUTH_CLIENT_ID": "your-value",
        "GSC_OAUTH_CLIENT_SECRET": "your-value",
        "GSC_SCOPES": "your-value",
        "GSC_ENABLE_WRITE": "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

  • GSC_AUTH_MODE env
    oauth or service_account. Unset defaults to service_account. Set oauth for Quick Connect or your own OAuth client.
  • GSC_ACCESS_MODE env
    readonly or full. full enables gsc_submit_url, gsc_submit_batch, and gsc_submit_sitemap. When unset, legacy GSC_SCOPES and GSC_ENABLE_WRITE apply and writes stay off unless both allow them. Setup ref…
  • GSC_SITE_URLS env
    Property allowlist. JSON string array of exact Search Console property ids, a legacy comma-separated list, or all alone (or JSON ["all"]) for every current and future property. Property-scoped tools…
  • GSC_KEY_FILE env
    Path to a service account JSON key. Required when GSC_AUTH_MODE is service_account, which is the default mode.
  • GSC_DATA_DIR env
    Local state directory for OAuth tokens, datasets and opt-in audit history. Default is ~/.gsc-mcp.
  • GSC_EXPORTS env
    Set to 1 to allow gsc_export_dataset and saved gsc_generate_report files on this machine. Any other value keeps local export disabled.
  • GSC_HISTORY env
    Set to 1 for explicit local gsc_change_impact history actions. Independent of exports; no scheduler or notifications.
  • GSC_OAUTH_SECRETS_FILE env
    Optional path to a Desktop OAuth client secrets JSON file. It takes precedence over GSC_OAUTH_CLIENT_ID and GSC_OAUTH_CLIENT_SECRET. Quick Connect does not need it.
  • GSC_OAUTH_CLIENT_ID env
    Optional OAuth client id. Used with GSC_OAUTH_CLIENT_SECRET when GSC_OAUTH_SECRETS_FILE is unset. Quick Connect does not need it.
  • GSC_OAUTH_CLIENT_SECRET 机密 env
    Optional OAuth client secret paired with GSC_OAUTH_CLIENT_ID. Quick Connect does not need it.
  • GSC_SCOPES env
    Legacy scope tier, readonly or full. Ignored when GSC_ACCESS_MODE is set. full alone does not enable writes.
  • GSC_ENABLE_WRITE env
    Legacy write opt-in. Set to 1 together with GSC_SCOPES=full when GSC_ACCESS_MODE is unset. Ignored when GSC_ACCESS_MODE is set.

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 sonnivasquez 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 5676 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5676 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 5676 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:GSC_OAUTH_CLIENT_SECRET

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(1.1.0)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 server

A local Google Search Console MCP server to compare search performance, find SEO opportunities, and check URL indexing status from your AI assistant using your own Google Search Console data.

GSC MCP is an open-source MCP server by Sonni Vasquez. It runs locally over stdio with Node.js or Bun and provides 34 tools. Google API requests run from your machine, with read-only Google access by default and access limited to the properties you select.

Website · npm package · Quickstart · Guía en español · Tool catalog

This is an independent project, not an official Google product.

Install with npx

The buttons and snippets below start the local stdio server with npx -y @sonnivasquez/gsc-mcp. They set GSC_AUTH_MODE=oauth and GSC_ACCESS_MODE=readonly. They do not sign you in to Google and they do not choose a property. Node.js 22 or newer is required. After the client starts the server, set GSC_SITE_URLS to your Search Console property and run gsc auth login or gsc setup. Quick Connect uses the shared read-only OAuth client shipped in this package, so you do not create a Google Cloud project for that path.

Claude Code

Replace sc-domain:example.com with your Search Console property id:

claude mcp add gsc-mcp -e GSC_AUTH_MODE=oauth -e GSC_ACCESS_MODE=readonly -e GSC_SITE_URLS=sc-domain:example.com -- npx -y @sonnivasquez/gsc-mcp
JSON config

Same command, for a client that reads mcpServers. Replace the example property:

{

"mcpServers": { "gsc-mcp": { "command": "npx", "args": ["-y", "@sonnivasquez/gsc-mcp"], "env": { "GSC_AUTH_MODE": "oauth", "GSC_ACCESS_MODE": "readonly", "GSC_SITE_URLS": "sc-domain:example.com" } } } }

Why this one

Quick Connect is the path that skips creating a Google Cloud OAuth client. Custom OAuth and service accounts in this same server still use credentials you create. Both paths run locally.

Quick Connect in this serverYour own Google credentials
Google Cloud projectNot required. This package ships a shared read-only OAuth client.Custom OAuth needs your client (GSC_OAUTH_SECRETS_FILE, or GSC_OAUTH_CLIENT_ID plus GSC_OAUTH_CLIENT_SECRET). A service account needs GSC_KEY_FILE.
Where it runsLocal stdio process. Google API requests run from your machine.Same local process.
Default accessRead-only. Setup refuses full access for Quick Connect.Read-only unless GSC_ACCESS_MODE=full. That mode enables gsc_submit_url, gsc_submit_batch, and gsc_submit_sitemap.
Tools34 gsc_* tools registered by the server.The same 34 tools.
Also registered heregsc_genai_conversation_queries, gsc_check_update_impact, and gsc_image_page_audit.The same tools.

gsc_genai_conversation_queries reads AI-conversation exhaust in query data. gsc_check_update_impact compares a drop window with confirmed ranking updates and reports temporal coincidence only. gsc_image_page_audit fetches your own pages and their image bytes.

What you can do

SEO taskWhat GSC MCP returnsExample tools
Understand a traffic changeClicks, impressions, CTR, average position and period comparisons by page or querygsc_performance_overview, gsc_compare_periods, gsc_analyze_traffic_drop
Prioritize pages and queriesCandidates with low CTR, weak positions or declining traffic, using explicit thresholdsgsc_find_opportunities, gsc_content_decay
Review competing pagesQueries served by multiple pages on your site, with evidence for editorial reviewgsc_detect_cannibalization, gsc_query_pages
Inspect indexing and sitemapsGoogle's indexed view of selected URLs and registered sitemap statesgsc_inspect_urls, gsc_list_sitemaps
Compare segmentsBrand terms, site folders, countries, devices, or web versus image searchgsc_analyze_segments, gsc_compare_web_image
Audit on-page imagesFindings from downloading your own pages and their referenced imagesgsc_image_page_audit
Audit a page or an index sampleCurrent HTTP HTML and exact-page queries, or indexed-view inspection from sitemap discoverygsc_page_audit, gsc_indexing_audit
Review internal linksBounded HTML link graph and literal suggestionsgsc_internal_link_audit
Evaluate changes or a migrationObserved before/after metrics and declared URL mappingsgsc_change_impact, gsc_migration_audit
Prepare reportsMarkdown reports and optional local dataset exportsgsc_generate_report, gsc_export_dataset

These are analysis tools. Opportunity and cannibalization results are candidates to review, not proof that a particular SEO change will improve rankings.

Get started

You need Node.js 22 or newer, npm or Bun, and a Google account with access to a Search Console property. Bun can install the package and run the MCP server; the global gsc CLI still requires Node.js.

npm install -g @sonnivasquez/gsc-mcp

gsc setup

Setup guides you through:

  1. Sign in to Google. Choose read-only Quick Connect, or use your own OAuth client or a service account.
  2. Choose properties. Select the Search Console properties this server may access.
  3. Connect your client. Review and approve the configuration preview. Setup preserves other MCP servers.

Quick Connect uses a shared Desktop OAuth application and needs no Google Cloud project setup. Complete Google sign-in in your browser. Never paste passwords, OAuth credentials or tokens into an AI chat.

Check your local installation and saved authentication state:

gsc doctor

gsc auth status

To check access with a minimal request to Google, run gsc auth status --online. Restart your MCP client if the tools do not appear.

Other installation options

With Bun as the package manager:

bun install -g @sonnivasquez/gsc-mcp

gsc setup

The shell installer installs the latest package globally and opens setup. It uses npm by default and does not use sudo:

curl -fsSL https://gscmcp.dev/install.sh | sh

To use Bun with the installer:

curl -fsSL https://gscmcp.dev/install.sh | sh -s -- --manager bun

Read the installer or follow the quickstart for details.

Supported clients

Guided setup supports Claude Desktop, Claude Code, Cursor, Codex, OpenCode and Pi. It can also print JSON for another compatible MCP client. GSC MCP uses local stdio, so the client must support launching a local server.

See client setup instructions. Use gsc setup --dry-run to preview changes or gsc setup --verbose for configuration details. OpenCode and Pi configuration is global.

Install with your AI agent

Copy this prompt into an agent that can run terminal commands. You complete Google sign-in yourself:

Install @sonnivasquez/gsc-mcp globally with npm, or Bun if I prefer, then run gsc setup.

Use read-only Quick Connect. Help me sign in to Google, choose my Search Console properties and connect my MCP client while preserving other MCP servers. Never ask me to paste credentials or tokens into chat. Verify with gsc doctor and tell me whether I need to restart my client. Do not query Search Console until I ask.

Try it with your site

After setup, ask your assistant to list the properties it can access. Use an exact property identifier such as sc-domain:example.com or https://example.com/ in subsequent requests.

The prompts below are examples, not measured results:

For sc-domain:example.com, compare the last 28 days with the previous period.

Show the pages with the largest observed click losses, including impressions, CTR and average position. State the dates and coverage of the returned data.

Find queries for sc-domain:example.com with at least 500 impressions and CTR

below 2% in the last 28 days. Show their ranking pages and prioritize candidates for a title and snippet review. Do not edit the site.

Inspect these three URLs on my selected property and show Google's indexed

status for each. Then list its registered sitemaps. Do not submit anything.

You can also ask for pages with sustained traffic declines, query overlap across your own pages, brand versus non-brand segments, or a Markdown performance report. Saving reports and exporting datasets require GSC_EXPORTS=1 in your MCP client's server environment. Restart the client after changing that environment.

On-demand website audits and change history

Version 1.1.0 adds gsc_page_audit, gsc_indexing_audit, gsc_internal_link_audit, gsc_change_impact, and gsc_migration_audit. They combine bounded HTTP HTML or sitemap reads with your own GSC data. They do not render JavaScript or run in the background; client-rendered content and links remain unknown. Continue batches explicitly using nextCursor; sessions expire after 15 idle minutes.

GSC_HISTORY=1 enables explicit local change records and saved measurements, independently of GSC_EXPORTS. Transient before/after analysis needs no history. Results may be partial even when the scheduled work completes: check status, coverage and warnings. Full evidence may require gsc_get_dataset. No alerts service, scheduler or automatic captures are installed. See audit inputs, limits, evidence pagination and examples. These audits require version 1.1.0 or later. Check gsc_capabilities in the running server after updating and restarting your MCP client.

Authentication and access

ConnectionRequirementsAccess
Quick ConnectBrowser sign-in with a Google account that can access the propertyRead-only, using the shared OAuth application
Custom OAuthYour own Google Cloud OAuth client and browser sign-inRead-only, or full access after explicit configuration
Service accountYour own credentials file and permissions for the propertyRead-only, or full access after explicit configuration

Read-only access blocks Google wr

只显示了开头部分;其余内容请在仓库中阅读

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