Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Local, read-only Google Search Console MCP server. Quick Connect needs no Cloud project.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
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「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
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動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
GSC_AUTH_MODE envGSC_ACCESS_MODE envGSC_SITE_URLS envGSC_KEY_FILE envGSC_DATA_DIR envGSC_EXPORTS envGSC_HISTORY envGSC_OAUTH_SECRETS_FILE envGSC_OAUTH_CLIENT_ID envGSC_SCOPES envGSC_ENABLE_WRITE envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント sonnivasquez で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:GSC_OAUTH_CLIENT_SECRET
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(1.1.0)がレジストリに届いたのは一昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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.
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.
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
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" } } } }
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 server | Your own Google credentials | |
|---|---|---|
| Google Cloud project | Not 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 runs | Local stdio process. Google API requests run from your machine. | Same local process. |
| Default access | Read-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. |
| Tools | 34 gsc_* tools registered by the server. | The same 34 tools. |
| Also registered here | gsc_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.
| SEO task | What GSC MCP returns | Example tools |
|---|---|---|
| Understand a traffic change | Clicks, impressions, CTR, average position and period comparisons by page or query | gsc_performance_overview, gsc_compare_periods, gsc_analyze_traffic_drop |
| Prioritize pages and queries | Candidates with low CTR, weak positions or declining traffic, using explicit thresholds | gsc_find_opportunities, gsc_content_decay |
| Review competing pages | Queries served by multiple pages on your site, with evidence for editorial review | gsc_detect_cannibalization, gsc_query_pages |
| Inspect indexing and sitemaps | Google's indexed view of selected URLs and registered sitemap states | gsc_inspect_urls, gsc_list_sitemaps |
| Compare segments | Brand terms, site folders, countries, devices, or web versus image search | gsc_analyze_segments, gsc_compare_web_image |
| Audit on-page images | Findings from downloading your own pages and their referenced images | gsc_image_page_audit |
| Audit a page or an index sample | Current HTTP HTML and exact-page queries, or indexed-view inspection from sitemap discovery | gsc_page_audit, gsc_indexing_audit |
| Review internal links | Bounded HTML link graph and literal suggestions | gsc_internal_link_audit |
| Evaluate changes or a migration | Observed before/after metrics and declared URL mappings | gsc_change_impact, gsc_migration_audit |
| Prepare reports | Markdown reports and optional local dataset exports | gsc_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.
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:
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.
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.
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.
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.
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.
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.
| Connection | Requirements | Access |
|---|---|---|
| Quick Connect | Browser sign-in with a Google account that can access the property | Read-only, using the shared OAuth application |
| Custom OAuth | Your own Google Cloud OAuth client and browser sign-in | Read-only, or full access after explicit configuration |
| Service account | Your own credentials file and permissions for the property | Read-only, or full access after explicit configuration |
Read-only access blocks Google wr
冒頭だけを表示しています。続きはリポジトリで読めます