OpenWeather API ACTION
Get Current Weather Forecast by Location
Retrieves 1-16 days weather forecast for a specified location.
See the docs here. For more accurate reading, you are advised to fill in the country and/or state code
- Action
- Read only
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's OpenWeather API account once, then configure and run Get Current Weather Forecast by Location from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "openweather_api-get-weather-forecast-by-location",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
openweather_api: { authProvisionId: "apn_xxxxxxx" },
city: "City",
stateCode: "State code",
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "openweather_api-get-weather-forecast-by-location",
"configured_props": {
"openweather_api": { "authProvisionId": "apn_xxxxxxx" },
"city": "City",
"stateCode": "State code"
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "openweather_api",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "openweather_api-get-weather-forecast-by-location",
arguments: {
city: "City",
stateCode: "State code",
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
city City | string | City location. For example "Houston" in the United States. Required |
stateCode State code | string | State code. For example "TX" for Texas. Optional |
countryCode Country Code | string | The 2 or 3-letter country code, for example "US" for the United States. Optional |
cnt Days Count | integer | Number of days, which will be returned in the API response Optional |
units Units of Measurement | string | Standard, metric and imperial units are available. Standard units will be applied by default Optional |
lang Language | string | See doc here Optional Dynamic |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- openweather_api-get-weather-forecast-by-location
- Version
- 0.0.3
- App
- OpenWeather API
- Authentication
- API key
- Read-only
- Yes
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗