"Information about Google Workspace" matching MCP servers:

Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.

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

Enables AI assistants to fully control Google Sheets, including charts, pivot tables, formulas, formatting, and analytics, beyond basic read/write operations.

Enables professional Google Sheets management with 40+ tools for sheet operations, formatting, charts, and enterprise features.

Enables AI clients to render a workspace from a table by selecting an appropriate widget and DataProfile based on a user intent, then returning a chart view with a signed data link.

Enables natural-language analysis and management of Google Ads accounts, campaigns, keywords, budgets, and performance metrics through Claude.

MCP server for managing Google Sheets via 23 tools, enabling read/write, formatting, sheet management, and data operations through natural language.

Enables reading and writing spreadsheet ranges without destroying formulas, plus reshaping, formatting, and validating data within a spreadsheet.

Bridges MCP-compatible clients to the Google Sheets API, enabling automated spreadsheet creation, reading, writing, and formatting through natural language.

Enables natural language access to Google Ads campaigns, accounts, and performance metrics via Claude, with tools for managing ad groups, keywords, budgets, and visualizing data.

Enables Claude to interact with local workspace files through MCP, including listing files, summarizing CSV datasets, generating plots, executing Python scripts, and running allowlisted shell commands from a chat interface.

Enables Claude Desktop to access and manage Google Ads data, including campaigns, ad groups, keywords, budgets, and visualizations, through natural language interactions.

Enables to read, write, format cells, create charts, use formulas, and manage Google Sheets spreadsheets directly from Claude, Cursor, or any MCP-compatible client.

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

Enables AI assistants to authenticate against a cloud geospatial analysis platform, search and inspect its datasets, render them as maps, and compute statistics over specified regions. It exposes these capabilities as MCP tools that can be dropped into any Next.js project via a route-based adapter.

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.

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.

Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.

Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.

Educational MCP server with 17 tools for mathematical calculations, matrix operations, statistical analysis, and data visualization. Includes persistent workspace, cloud hosting, and safety features like restricted eval.

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Enables AI assistants and MCP clients to run Google Maps geo-grid rank tracking for local SEO, producing heatmaps, competitor insights, historical trends, and scheduled measurements.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.

An unofficial MCP server that provides 17 tools for Yandex/Google rank tracking via the Topvisor API v2, enabling project management, keyword import, asynchronous position checks, and retrieval of history and SERP snapshots.

Ask Claude, Codex or another AI assistant about your Garmin training, and get a training dashboard, also inside the chat. Official Personal API, read-only, nothing to install.

A local Google Sheets MCP server built for agent workflows in Claude Code and Claude Desktop: write API, script and file output into sheets, combine spreadsheets, refresh them on a schedule, across multiple Google accounts. Undo and formula-error checks on every write.

Exposes Google Ads and Meta Marketing performance data, campaign settings, and change history to Claude (Cowork) for live daily-dashboard workflows.

An MCP-native workspace where AI pushes discoveries into a live GPU-rendered graph, preserving project structure and findings across sessions.