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Sharp-mcp AI coding tool optimizes C# development with Roslyn and Redis

By PulseAugur Editorial · [1 sources] ·

The developer behind sharp-mcp, a local AI coding assistant for C#/.NET, details the architectural decisions made to optimize its performance and accuracy. Key innovations include parsing codebases once with Roslyn and caching the Abstract Syntax Tree (AST) metadata in Redis for rapid retrieval, significantly reducing latency compared to direct file reading. To combat "NuGet hallucinations," sharp-mcp uses MetadataLoadContext to decode actual IL from package DLLs, providing Claude with precise API signatures rather than relying on potentially stale documentation or training data. AI

IMPACT Optimizes AI coding assistance for C#/.NET developers by improving speed and accuracy through specialized codebase parsing and dependency handling.

RANK_REASON The item describes a specific software tool and its technical implementation details, not a new release from a frontier lab or a significant industry event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Sharp-mcp AI coding tool optimizes C# development with Roslyn and Redis

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product, infra
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97 days old
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Prashant Patil ·

    Six Problems. Six Decisions. How sharp-mcp Actually Works Under the Hood.

    <p>Two months ago I published <a href="https://dev.to/prashant_patil_9e62d3fa8a/i-just-wanted-claude-to-stop-hallucinating-my-nuget-apis-somehow-i-ended-up-building-a-full-c-dev-12om">my first article</a> about sharp-mcp — a local MCP server that gives Claude real Roslyn-powered …

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