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Make AI Agents & MCP Guide

Where to put review steps, who pays for model tokens, which models process EU data in Europe, and how much an outside assistant can change through Make MCP.

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3 min read
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14 cited
In this piece
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Run AI in Make as a step inside a fixed scenario unless the task needs judgment on varied input; require human review before agents write to company systems. Make AI Agents, which pick their own tools, have been in open beta since February 2, 2026; outside assistants can call scenarios through MCP. Each of the three bills credits under its own rules.

When you need this

  • Teams want AI to classify, draft, or decide inside existing scenarios.
  • Someone proposes an agent that acts in company systems with little review.
  • People want Claude or ChatGPT to run company automations.

Evaluation criteria

  1. Pick where AI runs

    Does the task need judgment, or the same steps every time?

    Look forUse a standard scenario for fixed logic. Add an AI app for bounded work such as summaries. Use agents for judgment on variable input. Make recommends tasks you would trust to an intern, away from sensitive data and high-stakes decisions.

  2. Tools and scope

    What can the agent call?

    Look forDefine tools from modules, scenarios, and MCP servers. Since July 2026, agents can also use sub-agents one level deep. Describe each tool clearly. Filter outputs to needed fields to reduce credits. One builder found that rebuilt agents no longer share tools.

  3. Review before action

    Where does a person approve?

    Look forAdd a review tool, Make's documented best practice. The agent sends its output, such as a Gmail draft, to a person in Slack before it continues. One builder uses ChatGPT to draft overdue QuickBooks payment reminders and leaves them in Gmail for review.

  4. Credits

    Who pays for model tokens?

    Look forOn every plan, Make's AI Provider bills operations plus tokens for agent runs, chat, tools, and knowledge files. Embedding tokens bill once per upload. With a custom provider on paid plans, Make bills operations and the provider bills tokens.

  5. Data location

    Where does each model process data?

    Look forCheck each model's routing. Make's OpenAI models, and Claude Fable 5, Fable 5.1, Sonnet 4.5, and Opus 4.5, process in the US on every zone. On EU zones, Claude Opus 5, Sonnet 5, and Haiku 4.5 process in Frankfurt, Zurich, Stockholm, Milan, Spain, London, Ireland, or Paris. Make says Sonnet 4.6 and Opus 4.6 are served from a UK Bedrock region. Custom connections follow provider routing.

  6. MCP access

    Which scenarios can an outside assistant run?

    Look forExpose active, on-demand scenarios through Make MCP. Every plan includes run scopes. Paid management scopes can change scenarios, teams, and connections. Toolboxes restrict clients to selected scenarios with their own key. Only OAuth restricts a client to one organization. Test external MCP authentication too. One team's self-hosted server required OAuth2, which Make AI Agents could not connect to.

  7. Maia

    Who may let Maia build or edit scenarios?

    Look forUse Maia to build and edit scenarios in chat. It is in public beta on paid plans, with a 30-day Free trial. Maia cannot see connections or keys and keeps chats for 15 days. Revert changes to a previous version when needed. Enterprise users can opt out.

Questions to ask vendors

  1. Which agent tools change data, and who approves those calls?
  2. Which MCP clients connect, with which scopes, and through OAuth or a token?
  3. Are AI steps on Make's AI Provider or our own key, and which data zone applies to each model?
  4. What changes for agent runs and pricing when the agent app leaves beta?

Red flags

  • An agent with write tools and no review step, working on customer data.
  • Management scopes granted to an MCP client that only needs to run scenarios.
  • EU data commitments with AI steps on OpenAI models through Make's AI Provider.
  • Large knowledge files uploaded again and again, paying embedding and description tokens each time.

Products in this piece

Sources

Official documentation
11
Public source
3
  1. Make Help Center: Introduction to Make AI Agent (New)Official documentationhelp.make.com
  2. Make Help Center: Make AI Agent (New) best practicesOfficial documentationhelp.make.com
  3. Make Help Center: Sub-agents and tool output filtering in Make AI Agent (New)Official documentationhelp.make.com
  4. Make Help Center: Credit usage for AI agentsOfficial documentationhelp.make.com
  5. Make Help Center: CreditsOfficial documentationhelp.make.com
  6. Make Help Center: Updated Make's AI Provider token pricing model (Aug 25, 2026)Official documentationhelp.make.com
  7. Make Help Center: AI providers and data zones in MakeOfficial documentationhelp.make.com
  8. Make Help Center: Make MCP serverOfficial documentationhelp.make.com
  9. Make Help Center: MCP toolboxesOfficial documentationhelp.make.com
  10. Make Help Center: Maia by Make system cardOfficial documentationhelp.make.com
  11. Make Help Center: Introduction to Maia by MakeOfficial documentationhelp.make.com
  12. Reddit r/Integromat comment on Make scenarios for overdue QuickBooks invoices (Jan 1, 2025)Public sourcereddit.com
  13. Make Community: New AI-Agents feedback (Mar 19, 2026)Public sourcecommunity.make.com
  14. Make Community: Agents MCP server with OAuth2? (Oct 26, 2025)Public sourcecommunity.make.com

Keep reading

  1. Buyer guideMake Team Rollout PlaybookFINN and Perk run business processes on Make scenarios; their practices, and the polling trigger that spent credits overnight, set the six steps here.
  2. Buyer guideMake Credit Spend Controls ChecklistSet who can buy extra Make credits, which cost 25% more, and how far each builder and team can spend before one looping scenario drains the plan.
  3. Buyer guideMake Admin & Data Controls ChecklistAudit logs, SSO, custom roles, and team credit limits are Enterprise only, and Maia and Make's OpenAI models always process in the US.
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