Portugal Weather Locations (IPMA)

ipma/locations

The 35 Portuguese locations (district capitals and the island capitals of the Azores and Madeira) that IPMA publishes a daily forecast for: the location code (locationId, the input of the forecast tool), name, latitude and longitude in degrees, district code and warning area code. Every code listed works in the forecast tool. Source: IPMA, Instituto Português do Mar e da Atmosfera, open data. Modified by Eden Engine (fields renamed, numbers converted). Served by Eden Engine; not an official IPMA service.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

IPMA

Source: IPMA, Instituto Português do Mar e da Atmosfera (https://www.ipma.pt), open data. Modified by Eden Engine (fields renamed, numbers converted, sentinel values removed). Served by Eden Engine; not an official IPMA service.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

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agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "ipma/locations" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "ipma/locations" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "ipma/locations", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "ipma/locations", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0026

Updated: Oct 26, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "count",
    "locations"
  ],
  "properties": {
    "count": {
      "type": "integer",
      "description": "Locations listed."
    },
    "locations": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "locationId",
          "name"
        ],
        "properties": {
          "name": {
            "type": [
              "string",
              "null"
            ],
            "description": "Location name."
          },
          "latitude": {
            "type": [
              "number",
              "null"
            ],
            "description": "Latitude in degrees (WGS84)."
          },
          "longitude": {
            "type": [
              "number",
              "null"
            ],
            "description": "Longitude in degrees (WGS84)."
          },
          "districtId": {
            "type": [
              "integer",
              "null"
            ],
            "description": "IPMA district code."
          },
          "locationId": {
            "type": "integer",
            "description": "IPMA globalIdLocal, the locationId input of the forecast tool."
          },
          "warningAreaCode": {
            "type": [
              "string",
              "null"
            ],
            "description": "IPMA warning area code, for example AVR."
          }
        },
        "additionalProperties": false
      },
      "description": "The locations."
    }
  },
  "additionalProperties": false
}