"An MCP for controlling a browser using a Chrome extension" matching MCP servers:

Lets AI coding assistants control and inspect a live Chrome browser using full Chrome DevTools capabilities for browser automation, debugging, and performance analysis.

Enables AI agents to monitor and debug browser runtime errors, console logs, and page diagnostics in real time via a Chrome extension and local MCP server.

Bridges Chrome DevTools with Cursor AI to enable debugging and monitoring, including console logs, network requests, screenshots, and element inspection.

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 agents to read Chrome Web Store metrics for an extension—installs, uninstalls, active users, impressions, and page views—with optional breakdowns and date ranges. Access is read-only and requires your own Google Cloud app credentials.

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

Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.

Enables AI agents to inspect a running VS Code webview or extension host in real time, exposing DOM, console, state-store, performance, and message-traffic data over a stdio connection. Tool activation is config-driven, so MobX, Redux, Zustand, or Apollo store tools and backend-side tools appear only when the corresponding adapters are wired up.

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.

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.

An MCP server that lets AI coding agents control and inspect a live Chrome browser, providing reliable automation, debugging, and performance analysis through Chrome DevTools.

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

A Docker-based workspace providing headless Chrome browser with CDP proxy and noVNC interface for browser automation and monitoring.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

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.

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 assistants to connect to browser DevTools and backend debuggers for full-stack debugging, including frontend console, network, performance, and backend log analysis.

Enables querying real-user Core Web Vitals field measurements — 75th-percentile LCP, INP, and CLS with distributions and ~40 weeks of history — for any origin or page that has enough Chrome traffic.

Captures browser console logs via Chrome DevTools Protocol and exposes them to MCP clients over SSE, enabling log retrieval with the getConsoleLogs tool.

An MCP server that provides AI coding assistants with comprehensive browser automation and debugging capabilities using Playwright, including visual inspection, DOM debugging, and execution monitoring.

Enables AI assistants to monitor and control Bambu Lab 3D printers over a local network via MQTT, including real-time status, AMS filament info, print control, and maintenance tracking. It supports guided setup, safety confirmations, read-only mode, and a built-in printer simulator.

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

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

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.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

Shows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Captures browser console messages (log, warn, error, etc.) and makes them available to AI language models like Claude Code and Gemini CLI for seamless debugging and development.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.