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

An MCP (Model Context Protocol) server for debugging and interacting with SONiC (Software for Open Networking in the Cloud) network devices (DUTs).

Enables intelligent interaction with Azure resources through natural language by translating requests into safe, auditable Azure CLI commands with plan/review workflows and direct access to 8 Azure services including Storage, Cosmos DB, Key Vault, and more.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

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.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

Self-hostable remote terminal assistance over MCP. Agents create one-command connection invitations, execute commands, and manage interactive sessions on user-authorized macOS, Linux, and Windows computers without requiring an SSH daemon.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

Provides structured debugging capabilities through LLDB, enabling AI assistants to set breakpoints, inspect variables, analyze crashes, disassemble code, and evaluate expressions in C/C++ programs.

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

Bridges Claude AI to a live Unreal Engine 5 editor session, enabling natural language control of scene inspection, modification, logging, source search, console commands, and C++ class scaffolding.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

MCP server that lets AI assistants scaffold, build, register, query, and diagnose Microsoft Dataverse plug-ins directly from conversation, orchestrating Power Platform CLI and Azure CLI.

Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

An MCP server that enables AI agents to list and run tasks defined in Taskfile.yml, useful for automated development workflows.

Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.

Checks your local development environment for common issues like wrong Node version, missing Docker, missing git config, missing .env keys, and busy ports, and provides fixes.

Enables AI assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.

MCP server that runs Flyway repair + migrate across multiple database projects for QA or Development environments.

SSH Session MCP fills a gap in the MCP ecosystem by offering a persistent shared SSH PTY runtime, not just stateless command execution. It features browser collaboration, input locking, safe/full execution modes, async command tracking, configurable policy rules, and multi-device profiles. Ideal for remote development, embedded systems, infrastructure workflows, and hardware control scenarios.

An MCP server for ROS 2 development that enables controlled creation of workspaces, packages, nodes, launch files, and tests within a sandboxed directory, with secure filesystem boundaries.

Enables AI coding agents to discover installed host compilers, execute builds in isolated child environments with timeout enforcement, and convert noisy ANSI-laden compiler logs from Python, Rust, C/C++, Node, and Go toolchains into clean structured JSON diagnostics. It also reports toolchain readiness so agents can avoid blind invocations of missing compilers.

Provides intelligent command completion, validation, and contextual help for the Kafka Docker Playground CLI. Integrates with GitHub Copilot to offer auto-complete suggestions, detailed command assistance, and debugging support for playground operations.

Enables LLM clients to inspect local development environment, including Docker container health, pnpm workspace integrity, and stuck process diagnosis.

Exposes Laravel development tools (artisan, migrations, config, schema, logs) as MCP tools for use with compatible clients.

Automates setup of local development environments for Python, Node.js, Flutter, Android, and more on macOS and Linux. Can be used as a standalone CLI or as an MCP server for AI assistant integration.

Leverages Vim's native text editing commands and workflows, which Claude already understands, to create a lightweight code assistance layer.

Enables AI agents to debug C/C++ programs with GDB or LLDB, supporting breakpoints, stepping, variable inspection, and function calls.

A local MCP server for agentic remote development that enables code sync via rsync, SSH command execution, and long-running task management in remote tmux sessions.

Enables local MCP clients to run Sailfish OS device, SDK, OBS, and Android/AppSupport development workflows via typed tools for SSH access, screenshots, touch injection, builds, logs, services, and repository checks.