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

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

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

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.

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

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.

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 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.

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

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.

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.

Enables coding agents to control and inspect a live Chrome browser for reliable automation, debugging, network and console analysis, screenshots, and performance insights, with a low-memory shared HTTP architecture.

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

Paid hosted MCP endpoint for AI agent browser DevTools. It exposes structured JSON tools for inspecting page state, reading console errors, summarizing network waterfalls, and exporting DevTools receipts.

Enables debugging of web applications by connecting Claude to Chrome's developer tools through MCP, allowing network monitoring, console inspection, and performance analysis via natural language.

Lets AI coding assistants control and inspect a live Chrome browser through MCP, enabling reliable automation, debugging, and performance analysis using Chrome DevTools.

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.

Enables multiple AI agents to each run Google's full Chrome DevTools toolset in an isolated Chrome instance with saved logins, origin allowlists, reconnect recovery, and process cleanup. It also provides visibility into running browsers so stale sessions can be inspected or reaped.

Enables browser automation and inspection by connecting to an already-running Chrome/Chromium over the DevTools protocol, with page-scoped routing so multiple clients can control separate tabs concurrently.

Enables AI coding assistants to control and inspect a live Chrome browser for automation, debugging, performance analysis, network monitoring, and DOM interaction through Chrome DevTools Protocol.

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

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.

Enables agents to inspect React Native and Expo apps through React's runtime tree, identify source locations, act on elements without coordinates, and verify outcomes with assertions and runtime evidence.

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.