"C# Azure .NET development assistance" matching MCP servers:

Enables MCP clients to remotely control a headless Chromium browser via Playwright, including navigation, clicking, typing, form filling, screenshots, and network request monitoring, over Streamable HTTP and deployable to Azure Container Apps.

Enables AI agents to scrape and interact with the live web, including Iranian sites, through remote Streamable HTTP tools for JavaScript rendering, rotating Iranian proxies, anti-bot handling, screenshots/PDFs, and site-specific actors with Markdown, text, or HTML output.

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.

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.

Enables MCP clients to drive a running Microsoft Edge browser over the Chrome DevTools Protocol, exposing 16 tools for navigation, clicking, typing, screenshots, page-content reading, and tab management. Runs in stdio mode for per-client processes or as a shared HTTP endpoint so multiple agents can operate the same browser session.

Enables AI agents to control a local browser via Playwright's accessibility tree, allowing automated web interactions and testing through natural language commands.

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

Enables AI agents to scrape, crawl, clean, chunk, and index website content into Azure AI Search for full-text retrieval.

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 Microsoft Teams chat automation, message extraction, and unread notification monitoring by automating the Teams web client with Puppeteer, requiring no API keys or Azure setup.

Enables AI-powered shopping assistance by analyzing natural language shopping queries and automating product searches on multiple e-commerce platforms.

Enables AI agents to control a hardened, human-like Chromium browser for automation and testing, with ad blocking, natural mouse movements, and Cloudflare Turnstile assistance.

A human-in-the-loop browser MCP server that pauses for user actions like login or CAPTCHA, saves and reuses authentication contexts, and extracts page data for development assistance.

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

Enables web search via Azure OpenAI Responses API with the web_search_preview tool, returning results with citations.

Enables agents to inspect native binaries, JavaScript and Electron apps, .NET assemblies, and websites, returning code, references, and evidence-backed findings for understanding and reimplementing features.

A Model Context Protocol server that provides AI-grounded Bing search capabilities using the Azure AI Project Client. It enables intelligent web searches with automated citation tracking and URL extraction for seamless AI integration.

Enables supervised web form assistance with ChatGPT, opening pages visibly, discovering opportunities, and requiring user approval before any fill actions.

An AI trading copilot that connects to TradingView Desktop via CDP, offering 84 MCP tools, 32 slash commands, Telegram alerts, and Dhan broker bridge for automated trading assistance and analysis.

Enables Claude to control TradingView Desktop for automated morning briefs, chart analysis, Pine Script development, and session management via MCP tools.

Audits images on any public web page to detect oversized images, compare natural vs rendered dimensions, and provide format breakdown, helping AI agents check image performance during development.

Automates visual inspection of development servers by converting natural language test sheets into Playwright scripts and executing them repeatedly.

Enables evidence-grounded web design analysis by searching GDWEB references and generating isolated, per-reference DESIGN_INDEX specification documents for LLM-driven frontend development.

DevEyes is a Model Context Protocol (MCP) server that captures screenshots from your local development environment and automatically optimizes them for LLM consumption.

Enables AI assistants to generate DataDome and Incapsula clearance tokens without a headless browser, for development and prototyping.

Self-hosted MCP server that gives AI assistants a real Linux development environment: file editing, shell commands, tmux terminals, and browser screenshots, with bounded access through a project registry and write gates.

A lightweight MCP server to control Arc Browser on macOS, optimized for frontend development with 30 tools including DOM operations, debugging, and network monitoring.

Lets AI agents list, read, wait on, and send Microsoft Teams chats by driving a Chrome tab that already holds your signed-in Teams session, with attachments and per-chat send modes. No Azure app registration, bot account, or admin consent is needed.

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.