"How to search for academic papers using Google Scholar" matching MCP servers:

MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.

MCP server for Google Search Console API, enabling search performance analysis, URL inspection, sitemap management, and property listing. Supports local, self-hosted, and Cloudflare Workers deployments.

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.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.

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.

Enables AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.

Enables keyword mining, Search Analytics queries, sitemap management across multiple properties, and URL index inspection through natural language.

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

Provides AI agents with read-only access to Google Search Console data, including search analytics, index coverage, and sitemap status. It enables users to query clicks, impressions, and ranking performance or check URL indexing status through natural language.

Enables AI agents to fetch Google Search Console search analytics reports (clicks, impressions, CTR, position) over MCP, with support for custom date ranges, dimensions, filters, comparisons, and exports.

Enables AI agents to query Google Search Console data including search analytics, URL inspection, sitemap management, and site performance monitoring, with per-user OAuth authentication.

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

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

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.

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

Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.

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

Enables MCP clients to query Google Search Console search performance, inspect indexing, analyze sitemaps, and run SEO analyses such as cannibalisation detection, query clustering, and wins/losses, all with read-only access.