Weather Grounding Data for AI Agents

Overview

Use it as a weather data API for live conditions or as a weather forecast API for the week ahead. Query either a city name or a zip code to fetch real-time atmospheric readings. Responses supply temperature, wind speed, and compass heading in both metric and imperial measurements. Paid plans add a 7-day daily forecast with highs, lows, rain chance and precipitation totals, plus precipitation amounts, barometric pressure, apparent feels-like temperatures, visibility, and wind gust speeds.

Live Test Weather Grounding Data for AI Agents Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as WeatherGroundingDataforAIAgents. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

Tool call

{
  "name": "WeatherGroundingDataforAIAgents",
  "arguments": {
    "city": "San Francisco"
  }
}

You do not name the tool yourself; the model picks it. Asking about San Francisco in the terms this source covers is enough for it to reach for WeatherGroundingDataforAIAgents on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

Argument	Type	Description
`city`Required	string	The city for which you want to get the current weather (e.g., San Francisco)
`forecast`Optional	boolean	Included by default. Set to false to omit the 7-day forecast and return current conditions only.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

Result

{
  "status": "ok",
  "error": null,
  "data": {
    "tempC": 13.3,
    "tempF": 55.9,
    "windMph": 4.7,
    "windKph": 7.6,
    "windDegree": 273,
    "windDir": "W",
    "pressureMb": 1022,
    "pressureIn": 30.17,
    "precipMm": 0,
    "precipIn": 0,
    "feelslikeC": 13,
    "feelslikeF": 55.3,
    "visKm": 16,
    "visMiles": 9,
    "gustMph": 7.2,
    "gustKph": 11.6,
    "forecast": [
      {
        "date": "2026-09-21",
        "condition": "Sunny",
        "maxtempC": 22.5,
        "maxtempF": 72.5,
        "mintempC": 13.3,
        "mintempF": 56,
        "avgtempC": 17.7,
        "avgtempF": 63.9,
        "maxwindMph": 4.7,
        "maxwindKph": 7.6,
        "avghumidity": 48,
        "uv": 4,
        "willItRain": 0,
        "chanceOfRain": 4,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 0,
        "totalprecipIn": 0,
        "totalsnowCm": 0,
        "avgvisKm": 10,
        "avgvisMiles": 6
      },
      {
        "date": "2026-09-22",
        "condition": "Sunny",
        "maxtempC": 22.8,
        "maxtempF": 73,
        "mintempC": 16.5,
        "mintempF": 61.7,
        "avgtempC": 19.7,
        "avgtempF": 67.5,
        "maxwindMph": 4.7,
        "maxwindKph": 7.6,
        "avghumidity": 63,
        "uv": 3.9,
        "willItRain": 0,
        "chanceOfRain": 8,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 0.02,
        "totalprecipIn": 0,
        "totalsnowCm": 0,
        "avgvisKm": 10,
        "avgvisMiles": 6
      },
      {
        "date": "2026-09-23",
        "condition": "Overcast",
        "maxtempC": 22.8,
        "maxtempF": 73.1,
        "mintempC": 14.1,
        "mintempF": 57.4,
        "avgtempC": 18.4,
        "avgtempF": 65.2,
        "maxwindMph": 15.7,
        "maxwindKph": 25.2,
        "avghumidity": 70,
        "uv": 3.1,
        "willItRain": 1,
        "chanceOfRain": 76,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 5.97,
        "totalprecipIn": 0.23,
        "totalsnowCm": 0,
        "avgvisKm": 9.9,
        "avgvisMiles": 6
      },
      {
        "date": "2026-09-24",
        "condition": "Partly Cloudy",
        "maxtempC": 18,
        "maxtempF": 64.5,
        "mintempC": 10.5,
        "mintempF": 50.8,
        "avgtempC": 14.3,
        "avgtempF": 57.7,
        "maxwindMph": 11,
        "maxwindKph": 17.6,
        "avghumidity": 64,
        "uv": 3.5,
        "willItRain": 0,
        "chanceOfRain": 11,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 0.03,
        "totalprecipIn": 0,
        "totalsnowCm": 0,
        "avgvisKm": 10,
        "avgvisMiles": 6
      },
      {
        "date": "2026-09-25",
        "condition": "Sunny",
        "maxtempC": 21.3,
        "maxtempF": 70.3,
        "mintempC": 12,
        "mintempF": 53.6,
        "avgtempC": 16,
        "avgtempF": 60.8,
        "maxwindMph": 6.5,
        "maxwindKph": 10.4,
        "avghumidity": 56,
        "uv": 6,
        "willItRain": 0,
        "chanceOfRain": 4,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 0,
        "totalprecipIn": 0,
        "totalsnowCm": 0,
        "avgvisKm": 10,
        "avgvisMiles": 6
      },
      {
        "date": "2026-09-26",
        "condition": "Sunny",
        "maxtempC": 22,
        "maxtempF": 71.5,
        "mintempC": 13,
        "mintempF": 55.3,
        "avgtempC": 17.1,
        "avgtempF": 62.8,
        "maxwindMph": 8.9,
        "maxwindKph": 14.4,
        "avghumidity": 62,
        "uv": 6,
        "willItRain": 0,
        "chanceOfRain": 8,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 0,
        "totalprecipIn": 0,
        "totalsnowCm": 0,
        "avgvisKm": 10,
        "avgvisMiles": 6
      },
      {
        "date": "2026-09-27",
        "condition": "Overcast",
        "maxtempC": 19.3,
        "maxtempF": 66.8,
        "mintempC": 12.8,
        "mintempF": 55.1,
        "avgtempC": 16.3,
        "avgtempF": 61.3,
        "maxwindMph": 6.9,
        "maxwindKph": 11.2,
        "avghumidity": 67,
        "uv": 4,
        "willItRain": 0,
        "chanceOfRain": 36,
        "willItSnow": 0,
        "chanceOfSnow": 0,
        "totalprecipMm": 0.32,
        "totalprecipIn": 0.01,
        "totalsnowCm": 0,
        "avgvisKm": 10,
        "avgvisMiles": 6
      }
    ],
    "forecastSummary": {
      "rainExpectedOn": "2026-09-23",
      "daysWithRain": 1,
      "tempTrend": "cooling",
      "tempTrendC": -2.1,
      "maxChanceOfRain": 76
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Field	Type	Example	Description
`tempC`	number	`13.3`	Current temperature in degrees Celsius
`tempF`	number	`55.9`	Current temperature in degrees Fahrenheit
`windMph`	number	`4.7`	Wind speed in miles per hour
`windKph`	number	`7.6`	Wind speed in kilometers per hour
`windDegree`	number	`273`	Wind direction in degrees (0-360)
`windDir`	string	`W`	Wind direction as compass point (N, S, E, W, etc.)
`pressureMb`Premium	number	`1022`	Atmospheric pressure in millibars
`pressureIn`Premium	number	`30.17`	Atmospheric pressure in inches of mercury
`precipMm`Premium	number	`0`	Precipitation amount in millimeters
`precipIn`Premium	number	`0`	Precipitation amount in inches
`feelslikeC`Premium	number	`13`	Apparent temperature in degrees Celsius
`feelslikeF`Premium	number	`55.3`	Apparent temperature in degrees Fahrenheit
`visKm`Premium	number	`16`	Visibility distance in kilometers
`visMiles`Premium	number	`9`	Visibility distance in miles
`gustMph`Premium	number	`7.2`	Wind gust speed in miles per hour
`gustKph`Premium	number	`11.6`	Wind gust speed in kilometers per hour
`forecast`Premium	array[7]		A 7-day daily forecast for the location, one entry per day, starting today
`forecast.0.date`Premium	string	`2026-09-21`	Forecast date in YYYY-MM-DD
`forecast.0.condition`Premium	string	`Sunny`	Summary weather condition for the day (e.g., Sunny, Overcast)
`forecast.0.maxtempC`Premium	number	`22.5`	Highest temperature for the day in degrees Celsius
`forecast.0.maxtempF`Premium	number	`72.5`	Highest temperature for the day in degrees Fahrenheit
`forecast.0.mintempC`Premium	number	`13.3`	Lowest temperature for the day in degrees Celsius
`forecast.0.mintempF`Premium	number	`56`	Lowest temperature for the day in degrees Fahrenheit
`forecast.0.avgtempC`Premium	number	`17.7`	Average temperature for the day in degrees Celsius
`forecast.0.avgtempF`Premium	number	`63.9`	Average temperature for the day in degrees Fahrenheit
`forecast.0.maxwindMph`Premium	number	`4.7`	Maximum sustained wind speed for the day in miles per hour
`forecast.0.maxwindKph`Premium	number	`7.6`	Maximum sustained wind speed for the day in kilometers per hour
`forecast.0.avghumidity`Premium	number	`48`	Average relative humidity for the day as a percentage
`forecast.0.uv`Premium	number	`4`	Maximum UV index for the day
`forecast.0.willItRain`Premium	number	`0`	1 if rain is expected during the day, 0 if not
`forecast.0.chanceOfRain`Premium	number	`4`	Probability of rain during the day as a percentage
`forecast.0.willItSnow`Premium	number	`0`	1 if snow is expected during the day, 0 if not
`forecast.0.chanceOfSnow`Premium	number	`0`	Probability of snow during the day as a percentage
`forecast.0.totalprecipMm`Premium	number	`0`	Total precipitation for the day in millimeters
`forecast.0.totalprecipIn`Premium	number	`0`	Total precipitation for the day in inches
`forecast.0.totalsnowCm`Premium	number	`0`	Total snowfall for the day in centimeters
`forecast.0.avgvisKm`Premium	number	`10`	Average visibility for the day in kilometers
`forecast.0.avgvisMiles`Premium	number	`6`	Average visibility for the day in miles
`forecastSummary`Premium	object	`{…}`	Derived read of the whole forecast window — when rain is expected and which way the temperature is trending
`forecastSummary.rainExpectedOn`Premium	string	`2026-09-23`	Date of the first day at or above a 50 percent chance of rain, or null if none
`forecastSummary.daysWithRain`Premium	number	`1`	Number of days in the window at or above a 50 percent chance of rain
`forecastSummary.tempTrend`Premium	string	`cooling`	Direction of travel across the window: warming, cooling, or steady
`forecastSummary.tempTrendC`Premium	number	`-2.1`	Change in average temperature across the window in degrees Celsius
`forecastSummary.maxChanceOfRain`Premium	number	`76`	Highest daily chance of rain across the window as a percentage

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at tempC: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

Status	What it means
`400` / `422`	The arguments did not validate. The message names the offending one.
`401`	The OAuth session is invalid or expired — reconnect the server.
`403`	Blocked by a key restriction or an IP allow-list. Never a bad identity.
`404`	This source is not part of VerveContext. Check the catalog.
`429`	Out of credits, or a brief rate limit. The message tells them apart.

A call costs 10 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Delivery Route Planning: When high winds threaten courier safety, dispatch software checks live wind speeds and compass direction across delivery zones before assigning routes, and reads the coming week of forecasts to reschedule ahead of bad days.
Travel Booking Portals: Travel sites display real-time temperatures for destination cities alongside a 7-day outlook so travelers know what conditions to expect across their whole stay.
Smart Home Thermostats: Home automation platforms read outdoor temperatures for local zip codes to adjust heating and cooling cycles throughout the day.
Outdoor Event Management: Organizers monitor current wind speeds and temperatures by city to decide when to secure temporary staging, and use daily rain chance to pick a date or trigger a postponement early.
Field Service Scheduling: Dispatchers check daily rain chance and precipitation totals for the week ahead to slot outdoor jobs like roofing or landscaping onto dry days.

Other ways to use Weather Grounding Data for AI Agents

Set up Weather Grounding Data for AI Agents on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →

Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →

Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →