Criora climate risk
Climate and disaster risk for any place: 7-day weather risk, hazards, climate profile, country risk.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
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": {
"criora": {
"url": "https://criora.com/mcp"
}
}
}Remote endpoints
https://criora.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (7)
π’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.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "find_placeOutput"
}π’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.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"additionalProperties": true,
"title": "get_forecastDictOutput"
}π’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 KΓΆppen climate zone. Every value names its source, year, unit, licence and the size of the cell it is read from.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"additionalProperties": true,
"title": "get_climate_profileDictOutput"
}π’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.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"additionalProperties": true,
"title": "get_hazards_nearDictOutput"
}π’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.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"additionalProperties": true,
"title": "get_country_profileDictOutput"
}π’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.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"additionalProperties": true,
"title": "compare_countriesDictOutput"
}π’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.
Input Schema
{
"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"
}Output Schema
{
"type": "object",
"additionalProperties": true,
"title": "assess_placeDictOutput"
}Community
Evidence