River Water Watch

Score a river cruise date against daily water levels on the Rhine, Danube, Elbe and Seine.

Should I use this

Quality & Safety

B
Description quality
88%
Schema completeness
68%
Naming quality
95%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'get_monthly_odds' description lacks action verbin get_monthly_odds

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~514Tokens (tool definitions)
~652 BTypical response size
Minimal attention impact (0.40% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "river-water-watch": {
      "url": "https://www.riverwaterwatch.com/mcp"
    }
  }
}

Remote endpoints

https://www.riverwaterwatch.com/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_monthly_odds(river)

Current 12-month cruise-disruption odds for one of Europe's main cruise rivers (chance a sailing day hits low water, or high water on the Seine). Refreshed daily from official sources.

Input Schema

{
  "type": "object",
  "properties": {
    "river": {
      "type": "string",
      "enum": [
        "rhine",
        "danube",
        "elbe",
        "seine"
      ]
    }
  },
  "required": [
    "river"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_live_gauges

Today's official water-level readings (cm) at the cruise-critical gauges on the Rhine, Danube, Elbe and Seine, with each station's state and its percentile against thirty years.

Input Schema

{
  "type": "object",
  "properties": {}
}
⚪score_sailing(river, departure_date, nights)

Score a specific river cruise: the chance a sailing departing on a given date meets low water (high water on the Seine) at its river's tightest stretch. Uses the live daily forecast where it reaches (~7 months) and the thirty-year weekly record beyond, plus what the same dates actually did in each of the last five years.

Input Schema

{
  "type": "object",
  "properties": {
    "river": {
      "type": "string",
      "enum": [
        "rhine",
        "danube",
        "elbe",
        "seine"
      ]
    },
    "departure_date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "nights": {
      "default": 7,
      "type": "integer",
      "minimum": 1,
      "maximum": 30
    }
  },
  "required": [
    "river",
    "departure_date"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_month_detail(river, month)

Why a given month behaves the way it does on one of the four rivers: the seasonal hydrology, the thirty-year frequency, and the last five years' outcomes for that month.

Input Schema

{
  "type": "object",
  "properties": {
    "river": {
      "type": "string",
      "enum": [
        "rhine",
        "danube",
        "elbe",
        "seine"
      ]
    },
    "month": {
      "type": "string",
      "enum": [
        "january",
        "february",
        "march",
        "april",
        "may",
        "june",
        "july",
        "august",
        "september",
        "october",
        "november",
        "december"
      ]
    }
  },
  "required": [
    "river",
    "month"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Community

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Evidence

Recent observations

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