Google Gsc

io.github.mharnett由 GitHub 账号 mharnett 发布v1.0.1更新于 Oct 25, 2026

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

概览

AI 生成的概览

本地运行的 Google Search Console MCP 服务器,让助手查询搜索分析数据、检查网址并列出已验证的资源。

可以做什么
列出已验证的 Search Console 资源,并按配置从工作目录识别对应资源。按查询词、页面、设备、国家或日期查询点击、展示、点击率和排名等搜索表现数据,支持筛选,默认最近 28 天。检查指定网址的索引状态、抓取状态、移动端可用性和富媒体搜索结果。
适用场景
适合在 SEO 或内容工作中,让助手读取自己网站的 Search Console 表现数据,或检查页面的索引与移动端可用性,而无需打开 Search Console 界面。
运行要求
以 npm 包 mcp-google-gsc 在本地 Node.js 上运行。需要 Google Cloud 的 Search Console API 访问权限,并提供由 GOOGLE_APPLICATION_CREDENTIALS 指向的服务账号 JSON 密钥文件,或在 GOOGLE_GSC_CLIENT_ID、GOOGLE_GSC_CLIENT_SECRET 和 GOOGLE_GSC_REFRESH_TOKEN 中配置 OAuth 客户端凭据。账号或服务账号邮箱必须在每个要查询的资源上获得授权。
安装前请注意
需要 Google 凭据:服务账号密钥文件路径,或 OAuth 客户端 ID、密钥和刷新令牌。README 提醒不要分享或提交 .mcp.json 配置文件,也不要把刷新令牌辅助命令的输出重定向到共享日志。权限为只读(webmasters.readonly 范围),所有工具仅读取数据;查询结果会发送给助手,并在 200KB 处截断。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Google Gsc,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

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

bash
npm install mcp-google-gsc

From source

bash
git clone https://github.com/mharnett/mcp-search-console.gitcd mcp-google-gscnpm installnpm 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:
    bash
    export GOOGLE_GSC_CLIENT_ID=...apps.googleusercontent.comexport GOOGLE_GSC_CLIENT_SECRET=...
  3. Mint a refresh token (opens your browser, uses PKCE + access_type=offline):
    bash
    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.

  4. Copy the printed line into your environment:
    bash
    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):
    bash
    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):

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:

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

Or if installed globally:

json
{  "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

来源:README.md,提交 d73fd1c

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

评分

已满足适用检查项的 50%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分

    请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。

  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分