Make

Make is an AI automation platform for building workflows and agents visually. Users can describe what they want, drag nodes onto a canvas or start an automation from an AI assistant through MCP. Workflows connect apps, data sources and AI models, and executions can be watched live from one place. The platform is aimed at teams that want automation without giving up visibility or control. Make is part of Celonis, which the site describes as a process mining and execution management software company.

Key Features

• A workflow builder that accepts prompts, drag-and-drop steps or MCP commands.
• AI agents with defined goals, tools and limits, plus a view of the reasoning behind each action.
• An MCP server that lets people build and run automations from Claude, ChatGPT or Gemini.
• Observability across the full stack, including resources outside Make.
• Custom code steps in JavaScript or Python when a visual module is not enough.
• More than 3,500 apps supported out of the box, plus connections to anything with an API.
• Security features including SSO, encryption, access controls, and SOC 2 Type II and SOC 3 compliance.

Who is it for

• Teams that want one automation platform from a single department to the whole company.
• Builders who can map a process but do not want to write code for every step.
• Developers who need to extend workflows with custom JavaScript or Python.
• Enterprises that require access controls, audit logs and named compliance certifications.

What can you do with Make

• Automate processes that span several business applications.
• Build an AI agent with explicit goals, tools and action limits.
• Start an automation from an AI assistant without opening the Make canvas.
• Watch executions live and inspect the data that moved between steps.
• Add custom code where a standard module cannot express the logic.
• Use templates from the templates library to start a workflow faster.

How does Make work

1. Describe the workflow to the builder, drag the first modules onto the canvas, or issue an MCP command.
2. Connect the apps and data sources the workflow needs.
3. Add AI agent steps, set their goals and tools, and define what they may not do.
4. Run the scenario and watch each module execute, including calls to external resources.
5. Add governance settings, test with real data, and publish the automation.

Pricing

• Check the official website for current pricing and plan details.

FAQ

Does Make have a free plan?

Yes. The pricing page states that the Free plan includes 1,000 credits per month, which equals 1 MB of data storage and one data store. Paid plans are named Core, Pro and Teams.

What is a credit in Make?

Credits are the billing unit, and most actions cost one credit. Extra credits are sold in bundles of 1,000 or 10,000 at a price defined in the subscription. Unused credits expire at the end of the term.

Can I use code inside a Make workflow?

Yes. Custom code steps support JavaScript and Python, so a workflow can include logic that the visual modules do not cover. The rest of the scenario can stay no-code.

Does Make have an MCP server?

Yes. The MCP server lets people build and run automations from Claude, ChatGPT or Gemini. The workflow builder also accepts MCP commands directly.

Is there an enterprise option?

Yes. An Enterprise plan is listed, with role-based access, audit logs and real-time analytics. Pricing is handled separately, and the page notes that wire transfer after invoice is accepted.