"An MCP for interacting with Google Chrome DevTools and aiding in scraping" matching MCP servers:

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.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables AI agents to attach to Chrome tabs, set breakpoints, inspect scope variables, evaluate expressions, and step through code using Chrome DevTools Protocol for runtime debugging.

Production-grade MCP server that gives AI agents safe access to your local dev environment: filesystem, databases, processes, and OpenAPI specs.

Enables Claude Code to manage Gmail, Google Calendar, and Google Drive via a dedicated Google account, keeping personal data separate.

Enables AI agents to inspect any public domain’s web technology stack, email deliverability and DNS health (MX, SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI), and HTTPS security posture with typed JSON scores and remediation-ready findings, plus history, bulk checks, monitoring alerts, and reverse technology lookups.

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

Enables AI agents to inspect and control a live Chromium browser for frontend debugging, providing console logs, network requests, DOM snapshots, and accessibility analysis.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Enables real-time flight fare searches across date ranges and multiple destinations, with historical price insights and booking links. Provides one-way and round-trip search tools through MCP.

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI agents to edit Google Docs via text anchors rather than character indices, preserving version history and enabling surgical edits without full document rewrites.

Enables AI assistants to interact with humans through GUI dialogs for text input, choices, confirmations, and information display.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

An MCP server that provides access to the Google Calendar API, allowing AI assistants to list and retrieve calendar items via OAuth 2.0 tokens.

An MCP server that extends the official Google Ads MCP with safe, confirmed campaign administration across manager accounts, featuring immutable mutation plans, multi-step approvals, and post-write verification.

Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

Automates sports editorial graphic poster creation using Google Flow through a Playwright-based pipeline, exposing a FastMCP server for integration with MCP clients.

Enables LLMs and AI agents to query and explore Google Ads accounts and API resources through MCP tools and resources, including account information, resource metadata, metrics, segments, and release notes.

Google Analytics 4 MCP server with local STDIO and shared team Cloud Run modes, realtime visitor counts, metadata discovery, and funnel analysis.

Enables managing Google Ads campaigns through an AI assistant with read-only reporting, recommendations, and gated write operations for bids, budgets, and statuses, all backed by preview and audit logging.

Multi-user Google Ads MCP server with OAuth-per-user auth, Firestore token storage, raw GAQL queries, and 10+ extra reporting tools beyond the official server.

Enables AI assistants to search places, retrieve place details, reviews, photos, business posts, and contributor review histories from Google Maps through natural language, with no API keys or paid billing required.

Google Tag Manager MCP server for managing tags, triggers, and variables from Claude, local or remote.

An MCP server for the Google Ads API, providing 29 tools for campaign management, reporting, and optimization.

Enables LLMs and AI agents to query Google Ads accounts and reporting data through the Google Ads API, including customer lookups, resource metadata inspection, and reference material on metrics, segments, and release notes. Tools and resources can be selectively enabled and namespaced via a configuration file, with authentication handled through Application Default Credentials or an OAuth proxy.

Lets an AI assistant inspect a running Google Chrome or Microsoft Edge browser over the Chrome DevTools Protocol, reading console output, network traffic, DOM snapshots, errors, performance metrics, storage, and screenshots. It also supports live event subscriptions, screen-frame streaming, and one-shot export of everything into an offline-readable archive such as HAR, CSV, and a self-contained HTML report.