"A query about Google Chrome or a related Chrome topic" matching MCP servers:

Lets several AI clients drive one shared, signed-in Chrome at the same time, giving each session its own background tabs and tab group with per-tab leases so mutations queue while reads overlap. Exposes a full Chrome DevTools-style toolset plus Claude's 31-member browser toolset, along with an HTTP endpoint that turns Messages API tool_use blocks into tool_result blocks.

Lets coding agents control and inspect a live Chrome browser for reliable automation, in-depth debugging, and performance analysis. Provides access to Chrome DevTools capabilities such as tracing, network inspection, screenshots, and console messages through MCP clients.

Lets coding agents control and inspect a live Chrome browser via MCP, providing Chrome DevTools capabilities for automation, debugging, and performance analysis.

An MCP server that connects AI agents to a running Chrome tab via the Chrome DevTools Protocol (CDP), enabling runtime debugging and page inspection.

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.

Rust-based MCP server that lets AI agents natively control and debug Chromium browsers via the Chrome DevTools Protocol (CDP). Single pre-compiled binary, installable with npx @raultov/chrome-debug-mcp, Homebrew or one shell command — no Rust toolchain.

Enables AI to interact with Chrome DevTools Protocol to inspect and debug live web pages, including DOM, styles, console logs, and network requests.

Enables AI coding assistants to control and inspect a live Chrome browser for automation, debugging, performance analysis, and screenshot capture through Chrome DevTools.

Enables AI coding agents to inspect and operate Chrome as a developer, including reading DevTools console/network data, evaluating JavaScript, and managing unpacked extensions during an edit-test-debug loop.

Lets coding agents control and inspect a live Chrome browser via the Model-Context-Protocol, providing advanced browser debugging, performance insights, and reliable automation.

Enables MCP clients like Claude Desktop to automate and interact with claude.ai via a Chrome extension and WebSocket relay.

An MCP Server for Chrome DevTools, following the Chrome DevTools Protocol. Integrates with Claude Desktop and Claude Code.

Enables MCP clients to drive individually named Chrome profiles, providing tools for tabs, navigation, page interaction, screenshots, JavaScript evaluation, console logs, and network inspection over stdio without a TCP port.

A fork of Chrome DevTools MCP that adds Streamable HTTP transport for multiple AI agents to concurrently control and inspect a live Chrome browser via the Model Context Protocol.

Enables coding agents to control and inspect a live Chrome browser, providing reliable automation, debugging, performance insights, screenshots, network analysis, and console messages through MCP.

Enables AI assistants to inspect Chrome Web Store status, metrics, ratings, and reviews, and to upload, publish, roll back, or adjust rollout of extension versions, with human confirmation for changes that affect users.

A token-optimized MCP server that groups Chrome Devtools tools into 8 semantic operations, reducing context window tokens by 69.5% while preserving full functionality.

Enables AI coding agents to control and inspect a live Chrome browser for reliable automation, in-depth debugging, performance analysis, and high-speed batched or parallel workflows.

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

Enables coding agents to control and inspect a live Chrome browser for reliable automation, in-depth debugging, and performance analysis.

Enables AI coding agents to control and inspect a live Chrome browser via MCP, including performance tracing, network and console debugging, screenshots, and reliable Puppeteer-based automation.

Gives an agent a real, watchable Chrome window to open and read pages, click and type, take screenshots, and inspect console messages, network requests, and script output. It also records performance traces and runs Lighthouse audits, with each chat getting its own browser that closes when the chat ends.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Enables multiple MCP clients to share a single Chrome instance while maintaining isolated tab sessions for each client. It acts as a multiplexer between clients and the chrome-devtools-mcp server, preventing tab conflicts across different sessions like Claude Code windows.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

A lightweight MCP server that enables AI assistants to control Chrome DevTools via CDP for debugging tasks like navigation, screenshots, and JavaScript execution.

MCP server that lets AI coding tools control and observe a running Node.js process through the chrome devtools protocol (CDP), via a lightweight Debug Adapter Protocol (DAP) bridge.

Provides comprehensive Chrome browser debugging capabilities including DOM inspection, network monitoring, console logs, JavaScript execution, breakpoint debugging, and screenshot capture for AI-assisted frontend development.

A Model Context Protocol (MCP) server implementation that provides seamless integration between Chrome bookmarks and AI assistants. This server enables AI models to access, search, analyze, and manage Chrome bookmarks through a standardized protocol.