Russia–NATO risk ladder

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

Should I use this

Quality & Safety

A
Description quality
94%
Schema completeness
84%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'get_changelog' description lacks action verbin get_changelog

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,395Tokens (tool definitions)
~1.1 KBTypical response size
Moderate attention impact (1.09% 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": {
    "risk-ladder": {
      "url": "https://mcp.russianato.site/mcp"
    }
  }
}

Remote endpoints

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

What it can do

Tool inventory

Tools (8)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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).

Input 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.

Input 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.

Input 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.

Input 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.

Input 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.

Input 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).

Input 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.

Input 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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Evidence

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