Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local, read-only Google Search Console MCP server. Quick Connect needs no Cloud project.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
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_WRITE비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
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 env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 sonnivasquez 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: GSC_OAUTH_CLIENT_SECRET
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.0)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요