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Google Search Console MCP

de A1-x-Techversión 1.3.2i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.A1-x-Tech/mcp-google-search-console

Instalar

Resumen

Descripción del creador (original en inglés)

MCP server for the Google Search Console API: search analytics, sitemaps, URL inspection, sites.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA
  • Debes completar: GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: GOOGLE_SEARCH_CONSOLE_CLIENT_ID, GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN, GOOGLE_SEARCH_CONSOLE_OAUTH_PORT, GOOGLE_SEARCH_CONSOLE_API_BASE, GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS, GOOGLE_SEARCH_CONSOLE_MAX_RETRIES

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "google-search-console": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-console"
      ],
      "env": {
        "GOOGLE_SEARCH_CONSOLE_CLIENT_ID": "your-value",
        "GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET": "your-value",
        "GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_OAUTH_PORT": "your-value",
        "GOOGLE_SEARCH_CONSOLE_API_BASE": "your-value",
        "GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS": "your-value",
        "GOOGLE_SEARCH_CONSOLE_MAX_RETRIES": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add google-search-console --env GOOGLE_SEARCH_CONSOLE_CLIENT_ID=your-value --env GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET=your-value --env GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN=your-value --env GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN=your-value --env GOOGLE_SEARCH_CONSOLE_OAUTH_PORT=your-value --env GOOGLE_SEARCH_CONSOLE_API_BASE=your-value --env GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS=your-value --env GOOGLE_SEARCH_CONSOLE_MAX_RETRIES=your-value -- npx -y mcp-google-search-console

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "google-search-console": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-console"
      ],
      "env": {
        "GOOGLE_SEARCH_CONSOLE_CLIENT_ID": "your-value",
        "GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET": "your-value",
        "GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_OAUTH_PORT": "your-value",
        "GOOGLE_SEARCH_CONSOLE_API_BASE": "your-value",
        "GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS": "your-value",
        "GOOGLE_SEARCH_CONSOLE_MAX_RETRIES": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "google-search-console": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-console"
      ],
      "env": {
        "GOOGLE_SEARCH_CONSOLE_CLIENT_ID": "your-value",
        "GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET": "your-value",
        "GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN": "your-value",
        "GOOGLE_SEARCH_CONSOLE_OAUTH_PORT": "your-value",
        "GOOGLE_SEARCH_CONSOLE_API_BASE": "your-value",
        "GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS": "your-value",
        "GOOGLE_SEARCH_CONSOLE_MAX_RETRIES": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • GOOGLE_SEARCH_CONSOLE_CLIENT_ID env
    Google OAuth2 client id (refresh-token flow).
  • GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET secreto env
    Google OAuth2 client secret (refresh-token flow). Treat it as a secret.
  • GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN secreto env
    Google OAuth2 refresh token, exchanged for access tokens automatically. Treat it as a secret.
  • GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN secreto env
    Static OAuth2 access token (~1h lifetime) — alternative to the refresh-token trio, mostly for testing.
  • GOOGLE_SEARCH_CONSOLE_OAUTH_PORT env
    Fixed port for the loopback listener of the in-chat login (127.0.0.1 + PKCE). Set it when the client runs over SSH port forwarding; otherwise a free port is picked per login.
  • GOOGLE_SEARCH_CONSOLE_API_BASE env
    API root override.
  • GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS env
    Per-request timeout in milliseconds.
  • GOOGLE_SEARCH_CONSOLE_MAX_RETRIES env
    Retries on transient errors (429 always; 5xx/network for reads).

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub A1-x-Tech, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 5652 servidores de esta categoría
  • Publicado en el registro más recientemente que el 94% de los otros 5652 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 5652 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Google Search Console MCP?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

Debes completar: GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (1.3.2) llegó al registro hace 3 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
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README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

Google Search Console MCP

English | Русский

A1 Google Search Console MCP connects an AI app to Google Search Console. Investigate search performance, check whether a URL is indexed, inspect sitemaps and deliberately submit or remove a sitemap when needed.

It works with the properties your Google account can access. The important detail is that it uses the exact Search Console property value — a domain property and a URL-prefix property are different objects.

  • 18 tools. Seven tools read properties, search data, sitemaps and index status; two add a property or submit a sitemap; three can remove data or call an arbitrary API method.
  • Connects from the conversation. Say "connect Google Search Console": the server walks you through the OAuth client, catches Google's redirect on 127.0.0.1 with PKCE and keeps the tokens itself — no config files, no restart.
  • Exact property IDs. https://example.com/, https://www.example.com/ and sc-domain:example.com are distinct. list_sites shows the value to use.
  • Search data with context. Query clicks, impressions, CTR and position by date, page, query, country, device or search appearance.
  • Indexing, not publishing. URL inspection explains Google’s current status; it does not force a page into the index.

Start with a read-only question:

Show the top 20 search queries for my property over the last 28 days, with clicks and CTR.

Connect the server · Explore use cases · Open technical documentation


See it work in a minute

You: Is https://example.com/pricing indexed? If not, why?

Assistant: Inspects the URL and shows the index verdict, coverage, crawl information and canonical URLs. Nothing changes.

You: Check my submitted sitemaps and prepare a resubmission for the one with errors.

Assistant: Shows the sitemap, its warnings and errors, then asks for confirmation before submitting it again.

You: Confirm.

Assistant: Resubmits the selected sitemap. It does not change page content or guarantee indexing.

Contents

  • Quick start
  • What you can ask it to do
  • How Search Console properties work
  • What can change
  • Getting access
  • Configuration
  • Data, limits and background work
  • Technical documentation
  • Support

Quick start

You need Node.js 20+ and a Google account. Credentials are not required at install time — the server connects from the conversation.

  1. Add the server to your AI app.
  2. Say "connect Google Search Console": the assistant walks you through creating the OAuth client and approving access without editing config files.
  3. Start with the read-only question above.

Codex

<<<<<<< Updated upstream In the app: open Settings → MCP servers, select Add server, choose STDIO, enter the command npx -y mcp-google-search-console@latest and environment variables GOOGLE_SEARCH_CONSOLE_CLIENT_ID, GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET, GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN, then select Save and Restart. ||||||| Stash base In the app: open Settings → Plugins → MCP servers, choose Add server, then add npx -y mcp-google-search-console@latest with GOOGLE_SEARCH_CONSOLE_CLIENT_ID, GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET and GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN. ======= In the app: open Settings → Plugins → MCP servers, choose Add server, then add npx -y mcp-google-search-console@latest.

>>>>>> Stashed changes

codex mcp add google-search-console \

-- npx -y mcp-google-search-console@latest codex mcp list

Codex MCP documentation

Claude Code

claude mcp add \

--transport stdio --scope user google-search-console \ -- npx -y mcp-google-search-console@latest claude mcp list

Claude Code MCP documentation

Claude Desktop

The current official path is Settings → Extensions. For a custom desktop extension, open Advanced settings → Extension Developer → Install Extension…, select a .mcpb file and follow the prompts.

This repository currently publishes an npm stdio package and does not contain a .mcpb bundle. For Claude Desktop builds that still support local configuration, use the following JSON stdio configuration as a fallback:

{"mcpServers":{"google-search-console":{"command":"npx","args":["-y","mcp-google-search-console@latest"]}}}

In those builds, save it to ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows.

Claude Desktop MCP documentation

Cursor

Add to ~/.cursor/mcp.json on macOS/Linux or %USERPROFILE%\.cursor\mcp.json on Windows:

{"mcpServers":{"google-search-console":{"type":"stdio","command":"npx","args":["-y","mcp-google-search-console@latest"]}}}

Cursor MCP documentation

VS Code

Run MCP: Open User Configuration and add:

{"servers":{"google-search-console":{"type":"stdio","command":"npx","args":["-y","mcp-google-search-console@latest"]}}}

Check it with MCP: List Servers. VS Code MCP documentation

What you can ask it to do

Find search opportunities
  • Which queries and pages brought the most clicks this month?
  • Which pages lost clicks compared with the previous period?
  • Show queries containing mcp where average position is below 10.
Check index status and sitemaps
  • Is this URL indexed? Show coverage, crawl and canonical information.
  • Which submitted sitemaps have errors or warnings?
  • Resubmit this sitemap after showing its current status.
Manage properties carefully
  • List the Search Console properties I can access.
  • Add this exact property value; I will verify ownership separately.
  • Remove this property from my account after confirmation.

How Search Console properties work

A URL-prefix property must include its protocol and trailing slash, for example https://example.com/. A domain property is written as sc-domain:example.com. A near-match causes 403 or 404, so use the exact value returned by list_sites.

add_site only registers a property. Verification remains in the Search Console UI or Site Verification API. Search data uses Pacific Time; end_date is inclusive and final analytics data typically lags by two to three days. data_state: "all" can include fresher, still-changing rows.

What can change

OperationWhat happensConfirmation boundary
List properties, analytics, sitemaps and URL statusReads Search Console dataNo change
Add a propertyAdds a property entry; does not verify itChanges account access
Submit or resubmit a sitemapRequests processing of a sitemapChanges Search Console state
Delete a propertyUnlinks the property from the account; Google data is not deletedDestructive
Delete a sitemapRemoves a submitted sitemapDestructive
Raw API requestMay call a write or delete endpointPotentially destructive

The AI client controls confirmation prompts. The server marks reads, writes and destructive calls so the client can distinguish an inspection from a real change.

Getting access

Google Search Console requires OAuth 2.0; an API key is not enough. There are two ways in, and the first one needs no configuration files.

Connect from the chat (recommended)

Say "connect Google Search Console" and the assistant runs the flow with you:

  1. setup_instructions prints the checklist: create or select a Google Cloud project, enable Google Search Console API, configure the consent screen and create a Desktop app OAuth client.
  2. Download that client's JSON ("Download JSON") and give the assistant its path — set_client stores it owner-only. The secret never goes through the conversation.
  3. start_login returns a Google consent link. Open it on this machine and approve; the code comes back to a one-shot listener on 127.0.0.1 (PKCE), never through the chat.
  4. finish_login exchanges the code and saves the tokens to ~/.config/mcp-google-search-console/credentials.json (mode 0600) and verifies them with a real Google Search Console API call — so an API that is still switched off is caught right there.

The tokens are re-read on every call, so the connection works immediately — no restart of the AI app. auth_status shows what is connected, logout revokes and deletes it.

Environment variables (CI, unattended installs)
  1. Create or select a Google Cloud project and enable Google Search Console API.
  2. Configure the OAuth consent screen and create a Desktop app OAuth client.
  3. Use the OAuth 2.0 Playground with Use your own OAuth credentials to authorize the Google account that can access the properties and obtain a refresh token.
  4. Use https://www.googleapis.com/auth/webmasters to include sitemaps and property changes. Use https://www.googleapis.com/auth/webmasters.readonly only if you intentionally need read-only access.

Testing-mode refresh tokens can expire after seven days. Publish the OAuth app, or use an Internal Workspace app, for long-lived access. Treat the client secret and refresh token as passwords.

Configuration

Every variable is optional — with none of them the server connects from the chat.

VariableRequiredDescription
GOOGLE_SEARCH_CONSOLE_CLIENT_IDNo*OAuth client ID.
GOOGLE_SEARCH_CONSOLE_CLIENT_SECRETNo*OAuth client secret.
GOOGLE_SEARCH_CONSOLE_REFRESH_TOKENNo*OAuth refresh token.
GOOGLE_SEARCH_CONSOLE_ACCESS_TOKENNo*Short-lived alternative to the OAuth trio.
GOOGLE_SEARCH_CONSOLE_OAUTH_PORTNoFixed loopback port for the in-chat login; useful over SSH port forwarding.
GOOGLE_SEARCH_CONSOLE_API_BASENoAPI base URL override.
GOOGLE_SEARCH_CONSOLE_TIMEOUT_MSNoPer-request timeout; default 60000 ms.
GOOGLE_SEARCH_CONSOLE_MAX_RETRIESNoTemporary-error retries; default 3.

\* Provide either the OAuth trio or an access token.

Data, limits and background work

  • Privacy. The local server calls Google and sends anonymous telemetry with an installation ID, versions and tool names — never OAuth tokens, property data, tool arguments or prompts. For each tool call it also sends the outcome and, on failure, an excerpt of the error text with e-mails, addresses, tokens, numb

Solo se muestra el principio; lee el resto en el repo

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