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Install and run a local Roslyn-powered MCP server to refactor, analyze, navigate, and generate C# and VB.NET code across entire .NET solutions using 41 specialized tools—no secrets or external services required.
npx claudepluginhub joshuaramirez/claude-code-plugins --plugin roslyn-mcpShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
ASYNKRON developer tools — profiler, test runner, code duplication detector, line counter, Roslynator, strict .NET standards, pre-PR checklist, test bomb and layered test methodologies
The definitive Claude Code companion for .NET developers. 47 skills, 10 agents, 16 commands, 10 rules, 5 templates, 15 MCP tools, 7 hooks for modern .NET 10 / C# 14.
Everyday maintenance automation and one-shot upgrade skills for .NET 10+, C# 14 applications with Aspire MCP integration
AI-powered codebase understanding assistant. Learn design patterns, analyze impact, trace code flows, and understand any codebase through information theory principles. Includes 6 Agent Skills for automatic analysis triggering.
Live codebase visualization and structural quality gate — 14 health dimensions graded A-F, dependency analysis, and architecture governance via MCP
Comprehensive .NET development skills for modern C#, ASP.NET, MAUI, Blazor, Aspire, EF Core, Native AOT, testing, security, performance optimization, CI/CD, and cloud-native applications
Integrates Azure DevOps with Claude Code via the official Microsoft Azure DevOps MCP server for work items, repositories, pipelines, and wikis
24 MCP tools for color space conversions, harmony generation, accessibility validation, and cultural meaning lookup.
Universal LLM facade MCP server - dual-layer information architecture abstracting any LLM backend (local or cloud) with typed extensions
Universal prompt creation engine — MCP server with 12-axis philosophical manifold for principled prompt construction
Pipes-and-filters orchestration for chunk-level analysis. Splits a corpus into chunks, runs a deterministic DAG of sub-agent filters (map / reduce / fan-out / fan-in / loop / terminal), and unions the results.
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