"Information about .NET framework or platform" matching MCP servers:

Enables AI-powered web test automation with self-healing locators and automatic GitHub checkin.

Audits any site's UX the way a design-literate reviewer would — contrast, tap targets, type scale, colour discipline, scan patterns, copy — and returns the rule, the source line and the exact fix.

Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.

A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.

Automated QA for .NET microservice backends and React frontends, enabling API contract testing, UI crawling, YAML flows, and run diffing against a stage environment.

Scans any website and produces an Agent Readiness Report scored on the open ASO framework.

Human-in-the-loop automation framework. Log them in, watch them run.

Enables AI agents to discover Robot Framework keywords, execute test steps live against web, mobile, API, database, or desktop targets, and generate clean .robot test suites from plain-English instructions.

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

Enables web search functionality through Perplexity AI's API with time-based filtering options. Allows users to search the web for recent information within specified time periods (day, week, month, or year).

Enables users to search and retrieve content from Xiaohongshu (Red Book) platform with smart search capabilities and rich data extraction including note content, author information, and images.

Enables web scraping through Scrapling's adaptive parsers, fetchers that bypass anti-bot systems, and scalable spider framework, allowing users to fetch pages, extract structured data, and run concurrent crawls with proxy rotation.

An open-source framework for building site-specific MCP servers that run over real, authenticated user browser sessions locally, turning them into composable AI tools.

Enables web scraping, browser automation, and dataset management through Apify's actor platform.

Enables local MCP clients to answer questions about the current browser page by capturing DOM context, routing them to fast or deep OpenAI models via a local model router, and optionally filling forms and submitting answers.

An MCP server that lets AI agents directly inspect and interact with live, logged-in browsers to debug PWAs and modern web apps, including framework state, stores, service workers, and caches.

A tool that enables automated browser control using Pyppeteer within the MCP framework, allowing navigation, screenshot capture, and element interaction with websites.

This MCP server allows an AI assistants to search for flight information online using Google Flights. It can find flights for specific dates or search through a range of dates to find all options or just the cheapest ones available.

Enables AI agents to perform local-first web search, fetch, crawl, extract, cache, research, and autonomous information gathering through MCP, with no API keys or cloud dependencies.

Enables LLMs to read, query, search, and manipulate a live schematic or PCB canvas in the browser, including retrieving the active document, searching the LCSC parts database, and placing components, drawing wires, and updating net names. Bridges an MCP client to the editor via a WebSocket extension so changes appear in real time.