"google search console" matching MCP servers:

Enables users to query Google Search Console data interactively from Claude Desktop and via CLI, providing search analytics, period comparisons, branded split, indexing status, sitemaps, and full CSV exports.

Connects Google Search Console with Claude AI to enable SEO professionals to analyze their SEO data through natural language conversations, providing access to property information, search analytics, URL inspection, and sitemap management.

This MCP server provides tools to query Google Search Console data, including search analytics, URL inspection, sitemap management, and site listing. It enables AI assistants to retrieve SEO performance metrics and manage sitemaps through natural language.

An MCP server that enables AI agents to manage Google Search Console properties, including checking index status, requesting indexing, submitting sitemaps, and pulling search analytics with per-property quota tracking.

Read-only MCP server for Google Search Console: performance queries, URL inspection, indexing checks, sitemaps, and one-call HTML SEO audit reports.

Secure MCP server for Google Search Console. Query search analytics (clicks, impressions, CTR, position), manage sitemaps, inspect URL indexing status, and manage site properties.

Connects Google Search Console to AI assistants, enabling natural language queries for SEO data, indexing audits, sitemap management, and full site audits.

Wraps the full Google Search Console API v1 so LLMs can query search performance data, inspect URL indexing status, and manage properties and sitemaps. Also adds task-shaped tools for common questions like top queries, top pages, period comparisons, and bulk inspections, with optional read-only mode.

Connects Google Search Console to AI assistants, enabling SEO data analysis through natural language conversations.

Read-only MCP server for Google Search Console, with browser-based OAuth flow and local token storage, enabling querying search analytics, site lists, and URL inspection.

MCP server for Google Search Console API that enables querying search analytics, managing sites, inspecting URLs, and supporting domain delegation via service accounts.

Enables interacting with Google Search Console via natural language, supporting search analytics, URL inspection, sitemap management, and site listing.

Connects AI assistants to a site owner's search performance data, letting them ask in plain language about clicks, queries, pages, indexing and sitemaps and get back structured results. Runs locally with your own credentials, read-only by default, and validates requests up front so the API's silent empty-result and terse-error quirks are caught before they mislead.

Connects Google Search Console to AI assistants, enabling natural language analysis of SEO data. Provides read-only tools for properties, search analytics, URL inspection, and sitemaps.

Integrates with Google Search Console to enable querying search analytics, comparing performance periods, generating visual reports, and identifying SEO optimization opportunities through natural language.

This MCP server provides LLMs with programmatic access to Google Search Console data and functionality, including search analytics, sitemap management, site management, and URL inspection.

Connects Google Search Console to AI assistants, enabling SEO data analysis via natural language conversations.

Legacy MCP server for Google Search Console data, now superseded by the unified google-seo-mcp-claude-code suite.

Enables users to query search performance, indexing, sitemaps and properties in plain language from any MCP client, returning worked-out analysis such as cannibalization, striking-distance keywords and decaying pages, with multilingual query variants merged so totals are correct. It also syncs data to a local store for history beyond Google's 16-month limit, including a 24-hour view, hourly data and timezone-adjusted days.

Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.