# mcp-agent-app

> Use this tool when you need to convert 2D GeoJSON geometries into 3D models, solving problems in geospatial visualization and simulation. It takes GeoJSON inputs and outputs 3D triangulated meshes, providing a seamless interface for mesh generation. Ideal for applications requiring 3D representations of geographic data, such as urban planning, architecture, and game development.

Canonical page: https://skillsregistry.net/skills/nelev-mcp-agent-app  
JSON: https://api.skillsregistry.net/v1/skills/nelev-mcp-agent-app

## Description

Converts GeoJSON geometries into 3D triangulated meshes using a local LLM (Ollama), exposing an MCP tool for mesh generation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b9t86dpgx3)
- **Repository:** <https://github.com/Nelev/mcp-agent-app>

## 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": "nelev-mcp-agent-app"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nelev-mcp-agent-app` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nelev-mcp-agent-app/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