"Google Chrome" 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.

Enterprise-grade Chrome automation for AI agents with compliance-ready logging, post-quantum encryption, and SIEM integration.

Enables MCP clients to authenticate with Google OAuth and securely access Google Calendar's official MCP server without exposing the Google client secret.

MCP server with built-in Google OAuth 2.0 authentication, enabling secure tool access via Google sign-in with automatic token lifecycle management and optional domain restriction for Google Workspace organizations.

This MCP server enables interaction with Google's Verified Access API, allowing users to verify the security posture of Chrome OS and Chrome Browser devices through natural language commands.

A remote MCP server with Google OAuth authentication, deployable to Cloudflare Workers, that provides tools accessible after signing in with Google.

Enables remote MCP servers with Google OAuth authentication, allowing users to connect and sign in via their Google account.

Enables agents to sign into websites through a real browser without exposing passwords, keeping cookies in a local Chrome profile and providing tools for browsing and managing authenticated sessions.

Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.

Terminal-native DOM perception layer for AppSec and AI. Hook into live Chrome sessions, compress HTML tokens by 98.9%, and map attack surfaces deterministically.

Enables agents to reuse a human-completed Chrome login session to open confirmed origins, read visible page text, and perform single click, fill, or key press actions without ever handling passwords or exposing cookies.

Enables AI assistants to read, create, update, move, and delete calendar events, list calendars, and query free/busy across multiple independent Google accounts through a single interface, with each account routed explicitly and gated by role-based access control. It also includes a built-in personal time-management assistant and stores each account's OAuth tokens in a local encrypted vault.

Enables AI agents to inspect and configure Chrome Enterprise Premium environments, including DLP rules, content detectors, connector policies, browser telemetry, and license management.

MCP server that bridges authenticated sessions from a Chrome extension to CloakBrowser profiles via local WebSocket, enabling agents to sync, verify, and debug persistent login state without exposing raw credentials.

Enables LLM agents to access Google Threat Intelligence data, including IOC search, file/domain/IP/URL analysis, and threat hunting rulesets, for security investigations.

A security-hardened integration that enables Claude to interact with Google Workspace tools like Gmail, Drive, and Docs while preventing data exfiltration by disabling features like email sending and external file sharing. It allows users to safely manage emails, documents, and calendars through natural language without risking unauthorized external communication.

Enables AI assistants to access Google's Threat Intelligence suite for file analysis, indicator of compromise searches, and reputation checking. It supports both local and cloud-based deployments for investigating campaigns, threat actors, and malware families.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

An MCP server providing AI-powered cybersecurity, penetration testing, reconnaissance, vulnerability assessment, and security automation tools through the Model Context Protocol.

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