"Multi-user production MCP server for Google Calendar and Sheets" matching MCP servers:

Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.

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.

Enables AI clients to perform autonomous multi-agent deep research through MCP tools, including deep research, quick search, and retrieval of archived Markdown reports with live web search and source citations.

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.

MCP server providing access to Google Trends, YouTube listings, Google Ads Transparency, and Google Play reviews via plain HTTP, with no API key required. It caches results and paces requests to work within Google's informal rate limits.

Enables MCP clients to query Google Analytics 4 reporting and configuration data through 27 read-only tools, including pivots, funnels, realtime reports, Admin API inspection, and diagnostics, with identifiers redacted by default.

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 searching Google Scholar for academic papers, citations, and author profiles, returning structured JSON results including titles, authors, citation counts, abstracts, and PDF links.

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.

MCP server for Google Ads API with built-in safeguards, MCC support, and 36 tools for campaign management, reporting, and optimization.

A production-grade Google Trends MCP server for AI workflow integration. Supports batch research of up to 50 keywords with cross-batch normalization, compare up to 5 keywords precisely, async task support, REST API + GPT Actions, and 7 major AI clients.

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.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

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 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.

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.