"Using Google Sheets, Google Drive, and Google Docs" matching MCP servers:

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

Enables Large Language Models to interact with Google Ads API for querying campaigns, ad groups, and performing mutations like creating budgets and ads.

Official Google Analytics MCP Server

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

MCP server for Google Ads. Audit spend, find wasted budget, create campaigns, monitor performance, and optimize ads directly from ChatGPT, Claude, or any MCP-compatible client.

Gives your agent a private Kinematic Drive: a deterministic memory engine for sub-millisecond exact recall over code and docs with no hallucination. Also provides self-serve checkout and metered pay-per-call tools for AI agents.

lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.

Create, launch, and manage Meta + Google ads from Claude and ChatGPT. Analytics, strategy, and autopilot automation for any store.

Provides AI assistants with instant access to Mapbox documentation and reference materials through tools and resources, with no Mapbox access token required.

A dev-time MCP server that lets coding agents read documentation directly from installed @particle-academy/\* packages, ensuring version-matched docs without network calls.

Exposes ProsodyAI documentation, SDK references, REST API reference (OpenAPI), and curated implementation recipes to AI coding agents via MCP tools and resources.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.

Exposes the Lichtblick documentation and the @lichtblick/suite extension API to AI agents over stdio, enabling full-text docs search, page fetching and listing, plus lookup and enumeration of exported TypeScript symbols with their doc comments.

Enables AI assistants to manage Google Cloud NetApp Volumes resources including storage pools, volumes, snapshots, backups, and more through natural language.

MCP server for searching and querying Aalto SciComp documentation (Triton HPC guides). Provides tools for finding pages, reading docs, and searching content, usable by any MCP client without an LLM API key.

Enables semantic search over ByJG's documentation, letting LLMs answer questions about ByJG libraries and cite the pages where answers were found.

Enables searching and retrieving documentation content from SaaSus Platform through MCP-compatible clients like Claude Desktop and Cursor. Provides tools to search for relevant articles, get full content from specific URLs, and access the complete sitemap of SaaSus documentation.

A read-only MCP server that exposes Automeli's public API documentation (v2 canonical, v1 frozen) to LLMs via fetch and cache over www.automeli.com artifacts. It enables listing, searching, and retrieving endpoints, OpenAPI specs, error explanations, code snippets, and end-to-end flow guides.