"Best browser-based media player controllers (MPC)" matching MCP servers:

A Model Context Protocol (MCP) server for producing better Terraform through CLI analysis (tflint, checkov, trivy, kics, infracost), best-practice guidance from terraform-best-practices.com, cloud provider recommendations (Azure, AWS, GCP), and Terraform Registry resource and module guidance.

Provides Python and FastAPI coding best practices with searchable guidelines, code review capabilities, and actionable improvement suggestions with examples across general coding, performance, and code quality categories.

A learning-oriented MCP server that exposes basic tools (echo, add, reverse) over stdio transport to validate MCP handshake and tool calls.

A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.

Enables AI assistants to control headless Chromium directly over the Chrome DevTools Protocol through nine MCP tools, covering navigation, text extraction, screenshots, console capture, accessibility snapshots, clicking, typing, waiting, and scrolling. It runs without Puppeteer or Playwright and is built for ARM64 and resource-constrained environments, with lazy browser launch and idle shutdown.

Enables local browser inspection and explicitly approved interaction with configurable capture profiles, bounded responses, network policy, and operator-controlled capabilities.

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.

Exposes Registry Browser operations (embed, de-embed, publish, create packages) as MCP tools for AI agents and IDE integrations to manage Unity packages programmatically.

Bridges browser content, developer tools data, and web page interactions with Claude through MCP. Enables page inspection, DOM analysis, JavaScript execution, console monitoring, network activity tracking, and screenshot capture across multiple browser tabs.

Enables remote control and inspection of a local Chrome browser from a V

Enables AI assistants to remotely control, debug, and automate real browsers, iOS simulators, and Android emulators, including navigation, element inspection, interaction, screenshots, and mobile gestures.

An MCP server that captures browser console logs and network requests via the Chrome DevTools Protocol. It allows users to monitor real-time logs, inspect network traffic, and execute JavaScript code directly in the browser context.

Gives AI coding tools access to the CSS cascade the way DevTools does — which rules matched, which won, where each came from.

A Playwright-based MCP server that prioritizes browser observation over automation, providing specialized tools for inspecting DOM, network, and console data. It categorizes operations into safe inspection tools and interactive action tools that require explicit escalation and justification.

Browser-backed MCP wrapper for mcp-atlassian with Playwright SSO auth. Enables AI tools to access Atlassian Server/Data Center instances behind corporate SSO (Okta, SAML, ADFS) where API tokens are not available

MCP server + Chrome extension that gives AI coding agents control of your real browser with existing sessions, logins, and cookies. Works with Cursor, Claude, Windsurf.

Enables visual browser feedback collection directly into Claude Code. Users can point at elements in their browser and send annotated feedback that Claude can act on immediately.

Enables comprehensive web frontend debugging and analysis through DOM inspection, JavaScript execution, network monitoring, console log capture, and automated browser interactions. Supports complete web development workflows including testing, data extraction, and performance analysis.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

A Model Context Protocol (MCP) server that provides JSON-RPC functionality through OpenRPC.