# sharplens-mcp

> Use this tool when you need to analyze and understand .NET/C# code semantics, navigate complex codebases, or refactor and generate code with compiler-accurate precision. The sharplens-mcp server provides 62 AI-optimized tools that solve problems related to code comprehension, navigation, and modification, accepting code files as input and outputting detailed semantic analysis and transformed code. It is particularly useful in contexts where AI coding agents require deeper code understanding beyond what can be inferred from source files alone.

Canonical page: https://skillsregistry.net/skills/pzalutski-pixel-sharplens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pzalutski-pixel-sharplens-mcp

## Description

A Model Context Protocol (MCP) server providing 62 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.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zbb7qbpdh4)
- **Repository:** <https://github.com/pzalutski-pixel/sharplens-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pzalutski-pixel-sharplens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pzalutski-pixel-sharplens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pzalutski-pixel-sharplens-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt