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

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

Enables looking up Chrome Web Store listing data — a single extension by its 32-character id, free-text search across extensions, and extensions attributed to a given publisher. Returns details such as name, rating, rating count, user count, version, last-updated date, category, and website.

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.

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

Enables AI coding assistants to control and inspect a live Chrome browser for automated debugging, performance analysis, and web interaction. It leverages Puppeteer and Chrome DevTools to provide capabilities like network monitoring, console logging, and automated browser actions.

Connects users to mental health counseling centers and welfare programs based on location and situation, prioritizing crisis resources.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables an assistant to watch a cooking video once and then guide a hands-free cook through it: importing videos into validated step-by-step guides, navigating steps, searching timestamped transcript and on-screen evidence, showing exact frames and clip replays, and setting persistent timers across restarts. Sessions, progress, and deadlines are stored so users can resume where they left off.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Controls a running Chrome/Chromium browser via the Chrome DevTools Protocol, enabling navigation, JavaScript evaluation, tab management, and raw CDP commands 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.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Read-only MCP server for precise lookup, search, and versioned retrieval of OWASP testing guides (WSTG, MASTG, ISTG, AITG) with full provenance on every result.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Enables AI coding assistants to control a persistent Chrome browser through DevTools Protocol. Supports web navigation, screenshots, element interaction, mobile testing, console logs, and network debugging in a stable Docker environment.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

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.

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.

A guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.

Enterprise-grade Chrome automation for AI agents with compliance-ready logging, post-quantum encryption, and SIEM integration.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

An MCP server that provides tools for interacting with Chrome through its DevTools Protocol, enabling remote control of Chrome tabs to execute JavaScript, capture screenshots, monitor network traffic, and more.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Enables AI assistants to call any SOAP/WSDL web service as MCP tools, automatically converting each WSDL operation into a callable tool with authentication and security controls.

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.