What do you want to automate
with Microsoft Entra ID and Go?
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Popular Microsoft Entra ID and Go Actions#
Adds a member to a group Microsoft Entra ID. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Removes a member from a group Microsoft Entra ID. See the documentation
Searches for groups by name or description. See the documentation
Updates an existing user in Microsoft Entra ID. See the documentation
Overview of Microsoft Entra ID#
The Microsoft Entra ID API offers a modern identity and access management solution, enabling developers to automate and integrate a broad range of user and identity-related operations. With Pipedream, you can harness this API to create workflows that manage user identities, automate provisioning and deprovisioning, secure access to applications, and more. Pipedream's serverless platform simplifies the process of connecting the Microsoft Entra ID API with hundreds of other apps to build powerful automations.
Connect Microsoft Entra ID#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_entra_id: {
type: "app",
app: "microsoft_entra_id",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_entra_id.$auth.oauth_access_token}`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies