"Information about Chrome browser or chrome material" matching MCP servers:

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.

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

chrome-debug-mcp is an asynchronous Rust-based Model Context Protocol (MCP) server that allows AI agents and Large Language Models to natively debug Chromium-based browsers via the Chrome DevTools Protocol (CDP).

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

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.

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 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.

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 via MCP, including performance tracing, network and console debugging, screenshots, and reliable Puppeteer-based automation.

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.

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.

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.

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.

Shares one Chrome browser across multiple AI coding sessions via an MCP proxy, adding lifecycle management, tool filtering, and anti-detection while wrapping the upstream chrome-devtools-mcp server.

Enables MCP clients to drive your already-open Chrome browser like a human, using 45 tools for navigation, perception, capture, and trusted input that pages receive as genuinely user-generated.

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