Make
Visual platform to build, scale, and automate AI workflows.
What is Make?
Try MakeMake is a visual automation platform for building AI and agentic workflows. Connect over 3,000 pre-built apps or integrate anything via API, then use drag-and-drop scenarios and AI Agents to automate tasks that adapt in real time to changing conditions. Make also supports MCP and real-time data processing to help you power more transparent, flexible automations.
What does Make help you automate with AI and agentic workflows?
Make helps you connect apps and services to automate business tasks and build AI workflows using AI Agents and agentic automation. Its scenarios can handle complex work and adjust as new information changes the situation during execution.
Is Make no-code, and can I build automations without writing code?
Yes. Make is designed as a no-code visual platform where you build workflows with drag-and-drop scenario tools, starting from templates and pre-built connections and expanding with AI Agents as needed.
How do Make AI Agents work when conditions change?
Make AI Agents understand goals written in natural language and adjust workflows dynamically. As new information becomes available, the automation can react in real time to stay goal-oriented and flexible.
What apps and tools can I connect to in Make, and can I integrate something custom?
Make supports 3,000+ pre-built apps for common workflows. If you need something outside the library, you can integrate it by using an API.
What are Make’s MCP Server and MCP Client for?
Make’s MCP Server supports Model Context Protocol (MCP) to help integrate AI agents and Make scenarios with tools hosted outside of Make through a standardized protocol. The MCP Client module lets scenarios and agents call those external tools securely and visually without managing raw API endpoints, local hosting, or external infrastructure.
What kinds of business workflows is Make commonly used for?
Make is used for automation across areas like customer experience, finance, HR, IT, marketing, sales, and day-to-day operations such as project and inbox management. Many examples focus on connecting business apps to streamline processes like onboarding, invoicing, payroll, approvals, lead processing, and monitoring.