Find out more about connections in these articles:

Call Google APIs using HTTP requests with OAuth 2.0 authentication

Establish OAuth 2.0 connections to securely connect any web service to Make

Create a custom OAuth client in Google Cloud Platform to connect Google services to Make

Replace connections in multiple modules of the same app across one or many scenarios

Securely collect connection credentials from third parties to build automations in Make

Create variables to dynamically define which connection to use for a particular scenario run

Install and use on-premise agents to securely access local applications and databases

Connect a mobile Apple iOS or Android device to your Make account

Add and manage keys and certificates for secure authentication and data protection

Find Make's IP addresses to whitelist in your firewall for secure connections

Call Google APIs with OAuth 2.0 HTTP request

Connect to any web service using OAuth 2.0

Connect to Google services using a custom OAuth client

Replace connections across multiple modules

Manage connection and key usage notifications

Credential requests

Dynamic connections

On-premise agent

Devices

Keys and certificates

Allow connections to and from Make IP addresses

Find more connection options including our on-premise agent 

Scenario run replay

Connections

A safety feature that saves unfinished scenario runs when errors occur, preventing data loss. Stored in the Incomplete Executions tab, you can retry automatically, resolve manually, or delete them. Disabled by default, enable it in Scenario settings.

Incomplete_executions

incomplete_executions

Error handlers act as a safety net that catches unexpected failures to prevent your scenarios from failing. They allow you to define exactly how the system should react, such as by retrying the task, ignoring the mistake, or rolling back changes.

error_handler

The Rollback error handler stops a scenario and reverts changes made by modules that support transactions to ensure data remains consistent when an error occurs.

Rollback

An automated workflow within the Make platform. You build it by connecting modules together, and it runs based on a trigger you set up.

scenario

a list or sequence of characters (like letters, numbers, and symbols) used to represent text in a computer programming.

string

An operation is a single module run to process data or check for new data. 

Operations

Credits (formerly operations) are the currency for running scenarios.

Credits

A route is a path that data can flow through in a scenario, visualized as the dotted lines between modules.

Route

scenario_plural_lowercase

scenario_singular_lowercase

Scenario_plural

Scenario_singular

product_name

Help Center

What is Make?

What's an API?

What's a scenario and which type should you use?

Learn the basics

Step 1. Plan your scenario

Step 2. Get your apps ready

Step 3. Add your first app

Step 4. Create a connection

Step 5. Set up the trigger

Step 6. Test the module

Step 7. Add another module

Step 8. Map data

Step 9. Test your scenario

Step 10. Schedule your scenario

Create your first scenario

Step 1. Get your app ready

Step 2. Add a router

Step 3. Set up another module

Step 4. Add a filter

Step 5. Test your scenario

Step 6. Add an aggregator

Step 7. Test the final scenario

Expand your scenario

Get started

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Tokens for date/time parsing

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Securing data with Make

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Introduction to Make AI Agent (New)

Create your first AI agent

Sales outreach AI agent use case

Slack-triggered AI agent

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Create AI agents for different triggers

Input files for AI agents

Knowledge files for AI agents

Knowledge app modules

Input files and knowledge files for AI agents

Make AI Agent (New) app

Make AI Agent (New) best practices

Credit usage for AI agents

Make AI Agent (New)

Introduction to AI agents

Manage AI agents

Module tools for AI agents

Scenarios for AI agents

MCP tools for AI agents

Tools for AI agents

AI agent best practices

AI Agents configuration

Make AI Agents app

Step 1. Set up the AI agent

Step 2. Create the AI agent's tools

Step 3. Create a scenario to send tasks to the AI agent

AI agent use case

Make AI Agents

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Get started with Make MCP server

Make MCP server

Connect to Claude Desktop

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Connect to OpenAI API

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Introduction to Make Grid

Access Make Grid

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Tutorial: How to replace a dependency

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Make Grid

Introduction to Maia by Make

Maia by Make best practices

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Maia by Make