# Glider

> Use this tool when you need to perform deep semantic analysis of C# codebases, enabling AI assistants to understand and modify .NET solutions. It solves problems such as code optimization, refactoring, and diagnostics by providing inputs like C# code and outputs like compiler diagnostics and type definitions. Use Glider in contexts where advanced code analysis and modification are required, such as software development and maintenance.

Canonical page: https://skillsregistry.net/skills/glidermcp-glider  
JSON: https://api.skillsregistry.net/v1/skills/glidermcp-glider

## Description

Glider is an MCP server that enables AI assistants to perform deep semantic analysis of C# codebases using Microsoft's Roslyn compiler platform. It provides tools for loading and analyzing .NET solutions, obtaining compiler diagnostics, locating type definitions and implementations, performing semantic renaming, relocating types between files, and accessing source code from NuGet packages and framework types.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/glidermcp-glider)
- **Repository:** <https://github.com/glidermcp/glidermcp.com>

## 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": "glidermcp-glider"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glidermcp-glider` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glidermcp-glider/pull`

---
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
