Criora climate risk

Climate and disaster risk for any place: 7-day weather risk, hazards, climate profile, country risk.

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质量与安全性

A
描述质量
100%
模式完整度
84%
命名质量
97%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~2,252token 数(工具定义)
~2.1 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.76%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "criora": {
      "url": "https://criora.com/mcp"
    }
  }
}

远程端点

https://criora.com/mcpstreamable-http

它能做什么

工具清单

工具(7)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢find_place(query, limit)

Resolve a place name or address to coordinates, best match first. Useful when a name is ambiguous (several Springfields) and the right candidate must be chosen before calling another tool. A city resolves to its centre as OpenStreetMap maps it. Geocoding by OpenStreetMap Nominatim, ODbL.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "A place name or address, in any language",
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 5,
      "description": "How many candidates to return",
      "maximum": 10,
      "minimum": 1,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "find_placeArguments"
}

输出模式

{
  "type": "object",
  "properties": {
    "result": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "title": "Result",
      "type": "array"
    }
  },
  "required": [
    "result"
  ],
  "title": "find_placeOutput"
}
🟢get_forecast(latitude, longitude, place, hourly)

This week's forecast at a place, and how risky the weather is each day. Per local day: minimum and maximum temperature, peak precipitation rate, peak wind, and the day's forecast risk class with the hazard behind it (heat, cold, wind, rain, snow, freezing rain) and its physical reading (UTCI felt temperature, gust speed or rain rate). Steps are hourly for the first day, then 3-hourly, then 6-hourly to day seven, and each day gives its step_hours: from the fourth day the minimum and maximum are of 6-hourly steps, so the true peak can fall between two of them. A day marked partial is cut by the start or end of the window. With hourly=true, every step. Source: Environment and Climate Change Canada GDPS global model, read at its own 15 km cell containing the point.

输入模式

{
  "type": "object",
  "properties": {
    "latitude": {
      "anyOf": [
        {
          "maximum": 90,
          "minimum": -90,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Latitude in degrees, WGS84",
      "title": "Latitude"
    },
    "longitude": {
      "anyOf": [
        {
          "maximum": 180,
          "minimum": -180,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Longitude in degrees, WGS84",
      "title": "Longitude"
    },
    "place": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "A place name or address, used when latitude and longitude are not given",
      "title": "Place"
    },
    "hourly": {
      "default": false,
      "description": "Include every forecast step, not only the daily summary",
      "title": "Hourly",
      "type": "boolean"
    }
  },
  "title": "get_forecastArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_forecastDictOutput"
}
🟢get_climate_profile(latitude, longitude, place, categories)

Long-term climate exposure at a place: every climate layer on the Criora map, read there. Includes the latest full year of ERA5 reanalysis, a single year named in each layer's year field rather than a multi-year normal (hottest day, coldest night, hot and frost day counts, wind, extreme rain days, UTCI), warming and rainfall change projected to 2050 and 2080 (CMIP6), sea level rise (IPCC AR6), coastal and river flood depth by scenario (WRI Aqueduct), water stress now and projected, drought (SPI), aridity, burned area, land cover, elevation, land subsidence and the Köppen climate zone. Every value names its source, year, unit, licence and the size of the cell it is read from.

输入模式

{
  "type": "object",
  "properties": {
    "latitude": {
      "anyOf": [
        {
          "maximum": 90,
          "minimum": -90,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Latitude in degrees, WGS84",
      "title": "Latitude"
    },
    "longitude": {
      "anyOf": [
        {
          "maximum": 180,
          "minimum": -180,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Longitude in degrees, WGS84",
      "title": "Longitude"
    },
    "place": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "A place name or address, used when latitude and longitude are not given",
      "title": "Place"
    },
    "categories": {
      "anyOf": [
        {
          "items": {
            "enum": [
              "flooding",
              "landcover",
              "misc",
              "precipitation",
              "temperature",
              "terrain",
              "vegetation",
              "water",
              "wind"
            ],
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Limit the answer to these layer categories; all of them when omitted",
      "title": "Categories"
    }
  },
  "title": "get_climate_profileArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_climate_profileDictOutput"
}
🟢get_hazards_near(latitude, longitude, place, radius_km, event_types, ...)

Disasters and hazards happening now or recently near a place, most severe and most recent first. Wildfires (NASA FIRMS), earthquakes, floods, tropical cyclones, volcanic eruptions and droughts (GDACS), US National Weather Service flood, tropical cyclone and fire warnings, and air quality (OpenAQ reference monitors), with distance, bearing, severity and time. Radius defaults to a sensible distance per event type. At most 25 events are listed; total and counts_by_type cover every event found.

输入模式

{
  "type": "object",
  "properties": {
    "latitude": {
      "anyOf": [
        {
          "maximum": 90,
          "minimum": -90,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Latitude in degrees, WGS84",
      "title": "Latitude"
    },
    "longitude": {
      "anyOf": [
        {
          "maximum": 180,
          "minimum": -180,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Longitude in degrees, WGS84",
      "title": "Longitude"
    },
    "place": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "A place name or address, used when latitude and longitude are not given",
      "title": "Place"
    },
    "radius_km": {
      "anyOf": [
        {
          "maximum": 500,
          "minimum": 1,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Search radius in km, 1 to 500",
      "title": "Radius Km"
    },
    "event_types": {
      "anyOf": [
        {
          "items": {
            "enum": [
              "wildfire",
              "earthquake",
              "flood",
              "cyclone",
              "volcano",
              "drought",
              "air_quality"
            ],
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Only these kinds of event",
      "title": "Event Types"
    },
    "days": {
      "anyOf": [
        {
          "maximum": 30,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Only events of the last N days",
      "title": "Days"
    }
  },
  "title": "get_hazards_nearArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_hazards_nearDictOutput"
}
🟢get_country_profile(country, include_indicators)

A country's climate and disaster risk from the Criora Atlas. Overall risk score and class, and scores for climate, nature, social, governance and adaptation, with the country's income group and region. With include_indicators=true, about 160 indicators (INFORM Risk Index, ND-GAIN, World Bank) each with its value, year, source and the world and regional medians it compares against. Scores run 0 to 100; higher means more risk.

输入模式

{
  "type": "object",
  "properties": {
    "country": {
      "description": "ISO 3166-1 alpha-3 code (e.g. BGD) or English country name",
      "title": "Country",
      "type": "string"
    },
    "include_indicators": {
      "default": false,
      "description": "Add every underlying indicator with its world and regional benchmark",
      "title": "Include Indicators",
      "type": "boolean"
    }
  },
  "required": [
    "country"
  ],
  "title": "get_country_profileArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_country_profileDictOutput"
}
🟢compare_countries(countries)

Several countries side by side on overall risk and each risk dimension, with their ranks. Scores run 0 to 100; higher means more risk. Ranks are among all countries in the Criora Atlas, 1 being the highest risk.

输入模式

{
  "type": "object",
  "properties": {
    "countries": {
      "description": "ISO3 codes or English names of 2 to 10 countries",
      "items": {
        "type": "string"
      },
      "maxItems": 10,
      "minItems": 2,
      "title": "Countries",
      "type": "array"
    }
  },
  "required": [
    "countries"
  ],
  "title": "compare_countriesArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "compare_countriesDictOutput"
}
🟢assess_place(latitude, longitude, place)

One answer for a place: this week's forecast risk by day, hazard events nearby, the headline climate exposures (heat, flood, sea-level rise, water stress, drought, heavy rain, fire, climate zone) and the risk profile of the country it lies in. The best first call for a general question about a location; get_climate_profile has every climate layer.

输入模式

{
  "type": "object",
  "properties": {
    "latitude": {
      "anyOf": [
        {
          "maximum": 90,
          "minimum": -90,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Latitude in degrees, WGS84",
      "title": "Latitude"
    },
    "longitude": {
      "anyOf": [
        {
          "maximum": 180,
          "minimum": -180,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Longitude in degrees, WGS84",
      "title": "Longitude"
    },
    "place": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "A place name or address, used when latitude and longitude are not given",
      "title": "Place"
    }
  },
  "title": "assess_placeArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "assess_placeDictOutput"
}

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