# hotspot-MCP

> Use this tool when you need to run atmospheric dispersion simulations using natural language requests, and it solves problems related to modeling multiple release scenarios. The hotspot-MCP tool takes in natural language inputs and returns parsed simulation results, supporting various release models. It is ideal for situations where complex atmospheric dispersion modeling needs to be simplified through intuitive language-based interfaces.

Canonical page: https://skillsregistry.net/skills/jeromwolf-hotspot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jeromwolf-hotspot-mcp

## Description

Enables Claude LLM to run HotSpot atmospheric dispersion simulations via natural language requests, supporting multiple release models and returning parsed results.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ytvrbvt4y4)
- **Repository:** <https://github.com/jeromwolf/hotspot-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": "jeromwolf-hotspot-mcp"
    }
  }
}
```

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

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