"A guide to developing Chrome extensions" matching MCP servers:

MCP server that helps AI agents inspect Minecraft project evidence (crash logs, mod files, datapacks) before writing development code.

Exposes PICO XR building blocks as MCP tools, enabling AI agents to programmatically configure XR scenes for PICO devices through idempotent, non-destructive operations.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

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).

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.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

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.

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.

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

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.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

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