".NET Programming Development" matching MCP servers:

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

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.

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

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

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.

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.

An MCP server that enables LLMs to drive a Chromium browser for web scraping, collecting structured data, and exporting to CSV.

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.

Enables fetching and extracting text from URLs, searching the web via DuckDuckGo and Yandex, and retrieving page links through MCP tools.

Self-hosted MCP server for AI browser automation. Connects to your own Chromium instance via CDP, providing tools for browser control, navigation, interaction, and content extraction.

Enables AI assistants to run complete website tasks in a real browser, returning every step, the final markdown content, and persistent tabs for follow-up calls or concurrent tasks.

Enables users to patrol QingSoft U+ courses, track homework and experiments, read objective questions into structured briefs for a connected MCP client model to answer, fill and verify selections, and optionally submit, while handing subjective, programming, report and file work back to the human.

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.

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.