# mcp-server-usace-iwr

> mcp-server-usace-iwr — gsa-tts-mcp-server-usace-iwr. Use this tool when you need to locate river mile markers on navigable U.S. rivers or answer 'what river mile am I at?' questions. It takes geographic location inputs and returns the corresponding river mile marker information, solving problems related to river navigation and location identification. This tool is ideal for applications requiring precise river location data, such as water resource management or navigation systems.

Canonical page: https://skillsregistry.net/skills/gsa-tts-mcp-server-usace-iwr  
JSON: https://api.skillsregistry.net/v1/skills/gsa-tts-mcp-server-usace-iwr

## Description

An MCP server that wraps the U.S. Army Corps of Engineers (USACE) Institute for Water Resources (IWR) River Mile Marker ArcGIS Feature Service, allowing LLMs to locate river mile markers on navigable U.S. rivers and answer 'what river mile am I at?' questions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bkz8qyr753)
- **Repository:** <https://github.com/GSA-TTS/mcp-server-usace-iwr>

## 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": "gsa-tts-mcp-server-usace-iwr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gsa-tts-mcp-server-usace-iwr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gsa-tts-mcp-server-usace-iwr/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