Russia–NATO risk ladder

Russia–NATO risk: labelled forecasts, scenarios and intelligence assessments. Cite russianato.site.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
94%
Vollständigkeit des Schemas
84%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'get_changelog' description lacks action verbin get_changelog

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,395Tokens (Tool-Definitionen)
~1.1 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.09% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "risk-ladder": {
      "url": "https://mcp.russianato.site/mcp"
    }
  }
}

Remote-Endpunkte

https://mcp.russianato.site/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (8)

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🟢get_overview(lang)

Start here. Annual risk for the five escalation levels today, a year ago and in one year (optimistic / baseline / pessimistic), plus average intelligence tone per country. Every number carries its provenance (published / model / manual).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_risk_ladder(date, scenario, hybrid_pct, regional_share_pct, wide_share_pct, ...)

Annual risk of each level on a date between one year ago and one year ahead of the data date. Past dates use the published forecast archive; future dates use the scenario model and also return cumulative risk from the data date. Optional what-if assumptions.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "YYYY-MM-DD; default = data date (as_of)"
    },
    "scenario": {
      "description": "optimistic | baseline | pessimistic, or a number from -1 to 1",
      "anyOf": [
        {
          "type": "string",
          "enum": [
            "optimistic",
            "baseline",
            "pessimistic"
          ]
        },
        {
          "type": "number",
          "minimum": -1,
          "maximum": 1
        }
      ]
    },
    "hybrid_pct": {
      "type": "number",
      "description": "What-if: annual probability of a destructive hybrid attack, %",
      "minimum": 1,
      "maximum": 99
    },
    "regional_share_pct": {
      "type": "number",
      "description": "What-if: share of attacks escalating into a regional war, %",
      "minimum": 0,
      "maximum": 100
    },
    "wide_share_pct": {
      "type": "number",
      "description": "What-if: share of regional wars escalating into a wider war, %",
      "minimum": 0,
      "maximum": 100
    },
    "scenario_factor": {
      "type": "number",
      "description": "What-if: factor F by which intensity changes per year in the extreme scenarios",
      "minimum": 1,
      "maximum": 10
    },
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_forecast_history(series, from, to, lang)

Published Metaculus probabilities by 2035 for an attack on European NATO or a seizure of Baltic territory, with the annual conversion for each observation.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "series": {
      "type": "string",
      "enum": [
        "attack",
        "territory"
      ]
    },
    "from": {
      "type": "string",
      "description": "YYYY-MM-DD"
    },
    "to": {
      "type": "string",
      "description": "YYYY-MM-DD"
    },
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_intelligence_assessments(country, dimension, limit, lang)

Public assessments by intelligence services and governments of 12 countries, newest first, with hand-coded tone from -2 to +2 for a military attack and for hybrid attacks, averages by country, check dates and links.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "country": {
      "type": "string",
      "description": "ISO code: EE LV LT PL FI SE NO DK NL GB DE US"
    },
    "dimension": {
      "type": "string",
      "enum": [
        "military",
        "hybrid"
      ]
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    },
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_sources(type, country, query, limit, lang)

The 51 sources with what each says, how it is used, countries, check date and link. Filter by type (intel, research, method, forecast), country or text.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "enum": [
        "intel",
        "research",
        "method",
        "forecast"
      ]
    },
    "country": {
      "type": "string"
    },
    "query": {
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 60
    },
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_other_forecasts(lang)

Prediction markets and other numeric forecasts with a different event or horizon (Manifold, Polymarket, Metaculus, Good Judgment Open, Atlantic Council), with check dates and corrections.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_changelog(type, limit, lang)

Significant changes to data, model and site, and the corrections history (what was wrong, what changed, who reported it).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "enum": [
        "data",
        "model",
        "ui",
        "fix"
      ]
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    },
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}
🟢get_methodology(lang)

Level definitions, formulas, current assumptions with check dates, the verbal probability scale and what the model deliberately does not do.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lang": {
      "type": "string",
      "enum": [
        "en",
        "ru",
        "de",
        "es",
        "fr"
      ],
      "description": "Language of text fields (default en)"
    }
  },
  "additionalProperties": false
}

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