No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by MarcelRoozekrans · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is roslyn-codelens-mcp safe to install? View the security audit →
Roslyn CodeLens MCP Server A Roslyn-based MCP server that gives AI agents deep semantic understanding of .NET codebases — type hierarchies, call graphs, DI registrations, diagnostics, refactoring, and more. <!-- mcp-name: io.gi
| Stars | 51 |
| Forks | 14 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.8383507233058/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-03-06 |
| Platforms | claude-code, dotnet, mcp |
| Est. Tokens | ~21k |
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roslyn-codelens-mcp is Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, tes. It is categorized as a MCP Server with 51 GitHub stars.
roslyn-codelens-mcp is primarily written in C#. It covers topics such as ai-agents, claude-code, code-analysis.
You can find installation instructions and usage details in the roslyn-codelens-mcp GitHub repository at github.com/MarcelRoozekrans/roslyn-codelens-mcp. The project has 51 stars and 14 forks, indicating an active community.
roslyn-codelens-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to roslyn-codelens-mcp on Agent Skills Hub include tree-sitter-analyzer, SharpToolsMCP, claude_code_vs. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: