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. You can connect apps and services, automate tasks with drag-and-drop scenarios, and create AI agents that understand goals in natural language and adapt in real time. With 3,000+ pre-built apps and the ability to integrate anything via API, Make helps teams turn routine work into transparent, goal-oriented automation.
What is Make, and what can you automate with it?
Make is a visual automation tool that connects apps, data sources, and AI to build AI workflows and agentic automation. You can automate tasks by connecting services and using drag-and-drop tools, so your workflows can adapt to changing conditions and help streamline business processes.
Is Make no-code, and how do you build workflows?
Yes—Make is designed for no-code, visual workflow building. You can assemble automations using drag-and-drop tools and scenario building, and you can also start faster with templates plus a library of pre-built apps and AI agents you can deploy and adapt.
How do AI Agents in Make work?
Make AI Agents are goal-oriented systems that understand goals in natural language and adjust workflows dynamically. They can handle complex tasks and react to new information as it happens, supported by a visual, transparent setup so you can see what the agent is doing.
Can Make connect to many apps and also custom systems?
Make supports 3,000+ pre-built apps and lets you integrate anything with an API. It also includes connections to well-known services such as OpenAI, HubSpot CRM, Salesforce, Slack, and others listed in its integrations library.
What are Make’s MCP features (MCP Server and MCP Client)?
Make’s MCP Server and MCP Client help you power AI agents with tools hosted through a standardized Model Context Protocol (MCP). They provide a no-code way to connect AI with Make scenarios and call external tools securely and visually, without managing raw API endpoints, installing local code, or maintaining infrastructure.
How does Make handle real-time data and adapting workflows?
Make uses real-time data processing as part of its agentic automation approach, so workflows can adapt to changing conditions while they run. Instead of fixed steps only, the agent-driven workflow can react to new information as it happens and expand to meet evolving business needs.