"Full-Stack MEAN CRUD Development" matching MCP servers:

Detects the technology stack behind any website, including frameworks, CMS, analytics, and more, via a single POST request.

Provides 30 MCP tools for browser extension development, including scaffolding, running, debugging, inspecting, and publishing cross-browser extensions. It enables AI agents to interact with live browsers for debugging and development.

Provides web development tools including taking screenshots and listing screens via MCP.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

Gives AI coding agents a ten-phase frontend design pipeline (audit, style direction, build, review, verify, perf, brand) with an exclusive style menu. Its verify_page tool loads a URL in a real Playwright browser at mobile and desktop viewports and returns screenshots, ARIA snapshots, console errors, failed requests, horizontal-overflow offenders, axe-core violations, and pointer type.

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

Full-stack utility API with 337+ tools including AI chat, web scraping, weather, finance, SEO, crypto, colors, readability, DNS, and more — all through a single MCP server. Pay-as-you-go credits, no API keys needed.

This read-only MCP Server allows you to connect to FTP data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for FTP (https://www.cdata.com/drivers/ftp/download/mcp).

Enables AI assistants to take screenshots of localhost development servers for visual verification of UI changes, reducing manual debugging cycles.

An MCP server that provides browser-grade web access for AI agents, using Chrome's actual network stack to bypass anti-bot protections and return clean markdown.

Enables users to capture any screen or URL, box the region they mean, attach notes, and deliver that annotated feedback—including cropped images, numbered boxes, and the underlying DOM elements or component names—directly to an AI coding agent over MCP. It also lets agents open the annotator, capture a URL, and wait for or retrieve feedback bundles from earlier sessions.

Enables AI agents to browse the web through a persistent headless Chromium session, receiving compact structured page summaries, targeted element queries, and full detail only on request instead of raw accessibility-tree dumps. Supports navigation, observation, interaction, monitoring, session management, and development auditing via token-efficient tool profiles.

Turns any URL into structured web intelligence in one call: SEO/OpenGraph metadata, public contacts, tech-stack fingerprinting, Schema.org data, a security-headers audit, and clean AI-ready Markdown. Anti-SSRF hardened by design.

Gives AI agents token-efficient browser access to the web by returning structured page representations — compact orientations, targeted element queries, and on-demand detail — instead of full accessibility-tree dumps. It supports navigation, observation at three detail levels, iframe-aware interaction, form filling, screenshot management, monitoring, session and tab control, and development auditing, with selectable tool profiles that cut definition overhead.

Enables an AI agent to directly drive a live browser video editor session, reading selections and playhead, editing the timeline, and sharing the same undo stack as the human user.

Provides browser automation and DevTools control through a custom Chromium-based stack, enabling navigation, interaction, evaluation, screenshots, cookies, request history, multi-page management, console/network inspection, CSS, emulation, traces, heap snapshots, and raw CDP.

Enables intelligent web scraping through a browser automation tool that can search Google, navigate to webpages, and extract content from various websites including GitHub, Stack Overflow, and documentation sites.

Enables AI agents to investigate any website's technology stack, identifying CMS, ecommerce platforms, JavaScript frameworks, analytics, CRM, marketing automation, payments, chat, CDN, and hosting.

Detects what technologies (CMS, frameworks, analytics, etc.) a website uses by fingerprinting its HTTP response and markup, returning confidence-scored results for single or bulk URL queries.

Wraps Chrome DevTools Protocol to provide AI agents with low-level browser debugging tools including breakpoints, stack traces, stepping, network interception, and source maps.