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

A local MCP server that connects Claude Desktop, Claude Code, and Claude Chat to your Azure DevOps organization, enabling querying work items, reviewing pull requests, triggering pipelines, searching code, managing test plans, and updating wikis using plain language.

This MCP server lets GitHub Copilot fetch Azure Boards work items by URL or ID and generate QA test cases from the ticket content.

An MCP server that integrates with GitHub Copilot to analyze Axivion static-analysis reports and provide MISRA C:2012 compliance assistance. It offers deep rule explanations, rationale, and confidence-scored fix suggestions for identified code violations.

Enables LLM tools to control iOS Simulator, manage Expo/Metro development servers, capture screenshots and videos, stream logs, and execute UI automation tests via Detox for React Native/Expo applications.

A Model Context Protocol server for JavaScript/TypeScript development, providing tools to run scripts, tests, builds, and dependency management with framework and package manager detection.

An MCP server that provides comprehensive tools for managing iOS simulators, including device control, app lifecycle management, and UI automation. It enables developers to boot devices, install apps, capture screenshots, and simulate user interactions through natural language commands.

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 evaluating Python projects against a deterministic quality bar using analyzer findings, per-dimension scores, and a review verdict, exposed through MCP tools, resources, and prompts. Users can run evaluations, inspect rules, and list analyzers to assess code readiness for review.

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

MCP server for Xray Cloud test management that enables importing automation results and managing tests, test executions, and test sets in Jira.

Enables AI assistants to interact with Azure DevOps projects, including work items, test results, Git repositories, and dependency analysis via the Model Context Protocol.

Enables end-to-end testing of CLI applications, REPLs, and TUIs by driving interactive pseudo-terminal sessions and reading clean rendered output through any MCP client.

Enables coding agents to debug native processes by bridging Debug Adapter Protocol debuggers into MCP, exposing runtime evidence for crash diagnosis, hang/deadlock triage, crash dumps, differential analysis, remote targets, and bounded fix/verify workflows.

Inspect and automate WPF apps with 38 MCP tools, a CLI and a C# SDK. C# tests support launch/attach, AutomationIds, virtualized grids/trees, automatic waits, exact selection, WPF dialogs and property notifications. Includes mouse/touch input, binding diagnostics, screenshots, recording/replay and xUnit export. Supports .NET Framework 4.7.2/4.8/4.8.1 and .NET 8/9/10 WPF.

Local-first MCP server for semantic C# analysis, navigation, validation, and refactoring using Roslyn on real .NET workspaces.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.

Enables a stateless, horizontally scaled MCP server using the 2026-07-28 specification, with tools for load testing and instance-aware operations.

Exposes MAID Runner validation tools (validate, snapshot, test) as MCP tools, resources, and prompts for AI agents like Claude Code and Aider, enabling seamless integration with AI development workflows.

Enables AI coding agents to build and audit Garry's Mod GLua addons with source-aware search, static linting, net security vulnerability scanning, performance profiling, and headless testing.

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

Connects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.

Enables managing TAPD (Tencent Agile Product Development) bugs, requirements, PRD reviews, and test reports directly from IDE via natural language, with cross-project aggregation and built-in workflows.

AI-optimized Vitest interface that provides structured test output, visual debugging context, and intelligent coverage analysis for more effective AI assistance with testing.

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

Enables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.

Enables AI agents to run Jest/TypeScript tests in isolated workspaces for Test-Driven Development workflows.

Enables AI development environments to call the Diffblue Cover CLI tool to automatically generate unit tests for Java code.

Exposes CT's C/C++ verification tools - project setup, analysis, test generation and execution, coverage, reporting - to an MCP client. Requires a local CT 2026.06 or later installation; without one the server reports zero tools.

Turn any .NET test-automation solution into a queryable map in one SQLite file — features, steps, API clients, page objects, and their dependencies. Zero config, no AI, no network, 100% deterministic.

Connects AI coding assistants to TestCollab for managing test cases, plans, and suites directly through natural language. It enables users to create, update, and query testing resources within integrated development environments and AI chat clients.