"Google search or related query" matching MCP servers:

Provides Google Search trend data as an MCP tool, with historical series, growth percentages, and live trending searches, no scraping or rate limits.

Enables AI agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.

Enables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.

Provides hosted, read-only Google Maps tools for MCP clients, enabling place search, full place details, reviews, photos, posts, and contributor history without a Google Cloud project or billing.

Provides free Google Trends data (interest over time, term comparison, related queries, trending now, regional breakdown) to MCP-compatible AI clients without needing an API key.

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.

Enables MCP clients to fetch Google Trends data for any term, including interest over time, interest by region, and related queries and topics, all as structured JSON.

Enables AI assistants to pull keyword ideas, average monthly search volumes, competition, top-of-page bid ranges, monthly trends and click/cost forecasts from Google Ads, using seed keywords, URLs or entire sites. Also supports location and language lookup, with results returned in the linked Google Ads account's currency.

Enables retrieval of relative search interest, regional breakdowns, related queries, and related topics for search terms, with optional geo, timeframe, category, and search-property filters, and comparison of up to five terms on a shared scale.

Enables AI assistants to search and analyze Google Scholar publications, authors, citations, and download papers.

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.

Enables Claude to query Google Trends data such as keyword interest, related queries, and regional popularity, with robust proxy rotation to bypass Google's anti-bot measures.

Provides advanced Google Custom Search functionality, web content extraction, and specialized research tools such as search analytics, multi-site search, and fact checking. Works as an MCP server compatible with any MCP client.

A Model Context Protocol server that enables searching Google Patents information via the SerpApi Google Patents API, allowing users to query patent data with various filters and sorting options.

Enables AI assistants to query Google Trends data, including search interest over time, regional breakdowns, trending searches, and keyword ideas.

Queries Google Trends for interest over time, related and rising queries, regional interest, and trending topics without requiring an API key or account.

Enables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.

Enables keyword research and read-only Google Ads reporting through Google Ads Explorer API access combined with Google Autocomplete, including keyword suggestions, location lookup, GAQL queries, and search-term reports. Runs as a remote Dockerized Streamable HTTP server with built-in OAuth 2.1 so it can be connected directly from Claude web, desktop, and mobile.

Enables searching PubMed using natural language questions by translating queries to PubMed syntax and returning semantically relevant results. It also supports related articles, citation chains, and bibliography export via MCP tools.

Enables AI agents to query Google Trends for search-interest signals, returning stable JSON envelopes with calibrated searches/day estimates, relative comparisons across keywords, related and rising queries, regional interest, and country-level Trending Now data. It also surfaces explicit status and error codes so agents can distinguish partial or failed results from real numbers.

Enables unified searching across Google Scholar, Google Web Search, and YouTube with enterprise features like caching, rate limiting, and monitoring. Supports simultaneous multi-source searches with filtering options for academic papers, web content, and videos.

MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.

Enables AI agents and LLMs to interact with Google Ads accounts, allowing search, retrieval of resource metadata, and listing accessible customers via the Google Ads API.

An MCP server for searching Google Scholar, enabling paper search, author lookup, citation tracking, and BibTeX export for AI assistants and automation workflows.

MCP server that exposes Google Trends data via BigQuery, enabling LLMs to query top search terms, rising terms, and compare term interest over time for different countries.

MCP server for querying monday.com's Google Ads accounts from Cursor, Claude Code, or Claude Desktop.

🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.

Provides access to Google Trends search interest data with backtesting support, allowing retrieval of historical 30-day trend windows ending at specified cutoff dates for forecasting applications without future information leakage.

FastMCP gateway that exposes paper-search-mcp as an HTTP MCP server, enabling search and download of academic papers from arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar.

Enables AI assistants to load and query local GEDCOM genealogy files, supporting search, browsing, and family tree traversal.