Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Local, read-only Google Search Console MCP server. Quick Connect needs no Cloud project.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
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_WRITEAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
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 envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto sonnivasquez bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: GSC_OAUTH_CLIENT_SECRET
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.1.0) kam vorgestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo