# ras-commander-mcp

> Use this tool when you need to interact with hydraulic modeling projects using natural language, enabling queries on project information, geometry elements, and plan results. It solves problems related to accessing and analyzing HEC-RAS project data, providing a user-friendly interface for inputs and outputs. Ideal for use cases where quick and intuitive access to hydraulic modeling project information is required.

Canonical page: https://skillsregistry.net/skills/gpt-cmdr-ras-commander-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gpt-cmdr-ras-commander-mcp

## Description

Enables querying HEC-RAS project information, geometry elements, plan results, and compute messages through natural language, allowing interaction with hydraulic modeling projects.

## Trust

- **Trust score (0–1):** 0.26
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rr6wobrimr)
- **Repository:** <https://github.com/gpt-cmdr/ras-commander-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": "gpt-cmdr-ras-commander-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gpt-cmdr-ras-commander-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gpt-cmdr-ras-commander-mcp/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