SharpLens MCP server

SharpLensMcp

A Model Context Protocol (MCP) server providing 92 AI-optimized tools for .NET/C# semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn.

Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone.

Installation

Via NuGet (Recommended)

dotnet tool install -g SharpLensMcp

Then run with:

sharplens

Via npm

npx -y sharplens-mcp

Build from Source

dotnet build -c Release
dotnet publish -c Release -o ./publish

Claude Code Setup

1. Install the tool (pick one):

dotnet tool install -g SharpLensMcp
# or
npx -y sharplens-mcp

1. Create .mcp.json in your project root:

{
  "mcpServers": {
    "sharplens": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "sharplens-mcp"],
      "env": {
        "DOTNET_SOLUTION_PATH": "/path/to/your/Solution.sln (or .slnx)"
      }
    }
  }
}

1. Restart Claude Code to load the MCP server

1. Verify by asking Claude to run a health check on the Roslyn server

Why Use This with Claude Code?

Claude Code has native LSP support for basic navigation (go-to-definition, find references). SharpLensMcp adds deep semantic analysis:

Configuration

The pre-1.6.0 ROSLYN spellings of the last four variables are still read as a fallback for one release; the SHARPLENS spelling wins when both are set.

If DOTNETSOLUTIONPATH is not set, you must call the load_solution tool before using other tools.

Migrating from 1.5.x tool names

Tool names no longer carry the roslyn: prefix — the colon violates the MCP tool-name pattern (^[a-zA-Z0-9_-]{1,64}$), which some clients enforce. Every tool keeps its name minus the prefix:

tools/list publishes only the new names. Calls using the old prefixed names are still accepted as aliases for one release and will be removed in the following one.

AI Agent Configuration Tips

AI models may have trained bias toward using their native tools (Grep, Read, LSP) instead of MCP server tools, even when SharpLensMcp provides better capabilities.

To ensure optimal tool usage:

Shortened. The full README is on GitHub.