Make (formerly Integromat)

Make (formerly Integromat) is a visual automation platform built for teams that need more than simple if-this-then-that triggers. Its drag-and-drop scenario builder supports branching logic, error handlers, iterators, and aggregators, making it a strong fit for complex, multi-step workflows that span CRMs, ad platforms, spreadsheets, databases, and AI modules. Where many no-code tools stop at linear chains, Make lets you visualize entire data pipelines, route conditionally, and recover gracefully when a step fails — which is exactly why operations, RevOps, and marketing automation teams reach for it when Zapier-style tools feel too limited.

The challenge with any visual automation platform is that its power lives inside its own walled scenario editor. Your AI agents — whether that's Claude, GPT, or Gemini — can't easily see what a Make scenario is doing, trigger it on demand, or pull structured results back into a broader business context. BusinessMCP.com solves this by giving your Make workflows a home inside a single hosted MCP server. Instead of wiring one-off webhooks or juggling API keys per integration, you connect Make once through BusinessMCP's managed infrastructure and expose it — alongside your other tools, databases, ad platforms, and revenue sources — through one unified endpoint at /api/mcp, authenticated with a simple Bearer mcph_* key.

This matters most for teams running AI agents that need to actually do things, not just chat. A support agent built in Claude or GPT can trigger a Make scenario to update a CRM record, generate an invoice, or kick off a multi-step onboarding sequence, all without your engineering team building a custom bridge for every model provider. Because BusinessMCP is model-agnostic, the same hosted MCP server works whether you're standing up an agent in Claude, GPT, or Gemini, and because it's cookieless and GDPR-friendly, it's a safer default for regulated industries and EU-facing teams that still want AI agents acting on live automation workflows.

Beyond connectivity, BusinessMCP layers a business-intelligence dashboard on top of your Make scenarios and every other tool in your stack. That means visibility into which automations are firing, how they connect to revenue and ad spend, and where an AI agent's actions through Make are actually moving the business — all in one place instead of scattered across Make's own interface, your ad platform dashboards, and internal databases. Teams already using Make for internal ops automation, lead routing, or multi-step marketing sequences get a natural upgrade path: keep building scenarios in Make's editor, but let BusinessMCP turn those scenarios into a callable, monitored capability for any AI agent in the organization.

If you're evaluating Make alongside other automation and integration platforms for an AI-agent-driven stack, the real decision point isn't just scenario complexity — it's how easily that automation becomes something an agent can discover, call, and be measured against. Hosting Make behind a unified MCP endpoint with built-in BI removes the integration tax and gives leadership a single view of automation performance across every tool the business runs on.