# Dotnet2025-MCP

> Dotnet2025-MCP — jorgemagic-dotnet2025-mcp. Use this tool when you need to integrate Large Language Models (LLMs) with 3D graphics and server technology, such as creating immersive experiences or interactive simulations. It solves problems related to client-server architecture and AI-powered user interfaces, providing a demo of a 3D MCP Server with LLM-powered client integration. The tool takes in git repository inputs and outputs a functional demo with Evergine-based 3D graphics and LLM capabilities.

Canonical page: https://skillsregistry.net/skills/jorgemagic-dotnet2025-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jorgemagic-dotnet2025-mcp

## Description

Evergine-based demo presented at DotNet2025 showcasing a 3D MCP Server with LLM-powered client integration

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Jorgemagic/Dotnet2025-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": "jorgemagic-dotnet2025-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jorgemagic-dotnet2025-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jorgemagic-dotnet2025-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