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Make

Automate anything, visually or in code.

MCPAPINative readiness
About

What is Make

Make lets you wire together apps, APIs, and AI models through a visual canvas — or via natural language prompts — to automate data transfer and business processes across your stack. It's built for GTM Engineers, Founders, and RevOps teams at solo operations and SMBs who need to move data between tools without standing up custom infrastructure. The standout capability is native AI agent building: you can construct and manage autonomous agents that connect to models like Claude, GPT, or Gemini directly inside your workflows. Scenario templates give teams a starting point for common automation patterns, reducing setup time on repeat use cases. Where Make starts to strain is at the enterprise end — teams with complex governance requirements, high-volume data pipelines, or deep custom logic may find the visual builder limiting compared to code-first orchestration tools.

Capabilities

Key features

Workflow automation

wire tools together and run multi-step jobs

Native CRM + team chat integration

first-party connectors, no middleware required

AI capabilities

autonomous multi-step actions

Workflow

event-driven triggers, templates library

Also ships

official SDK

Outbound webhooks

event-driven integrations

Our verdict

Vanderbuild take

Make is the workflow automation platform we'd point a GTM Engineer or RevOps lead at first when they need to connect their stack without writing glue code — it covers the widest surface area at the lowest entry cost in this subcategory. The agentic readiness here is native: Make ships an MCP server, meaning it can function as an orchestration layer that AI agents call directly, which puts it ahead of most visual automation tools for teams building agentic GTM workflows. Free tier is available and the freemium model makes it genuinely low-risk to test before committing budget. The honest limitation is complexity ceiling — once your scenarios grow beyond a few dozen modules or you need fine-grained error handling and branching logic, the visual canvas becomes harder to maintain than a code-first alternative, and debugging multi-step agent flows can get opaque fast.

Mateusz Sekta
Founder, vanderbuild
The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

The Make MCP server connects AI agents to Make scenarios via a cloud-based gateway. It detects available 'on-demand' scenarios, provides meaningful input parameter descriptions, resolves dynamic parameters, allows AI agents to trigger scenarios with valid inputs, and returns structured JSON outputs.

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
Orchestrator

Where this tool slots into an agentic pipeline.

Plays the role of Orchestrator in an agentic pipeline. Use it to tie multiple tools and AI calls together in one workflow.

Compare

Make alternatives

Tools that solve a similar problem — compared at a glance.

Answers

Frequently asked questions

Does Make have an MCP server?

Yes — Make exposes a Model Context Protocol server. The Make MCP server connects AI agents to Make scenarios via a cloud-based gateway. It detects available 'on-demand' scenarios, provides meaningful input parameter descriptions, resolves dynamic parameters, allows AI agents to trigger scenarios with valid inputs, and returns structured JSON outputs. See the MCP docs at https://developers.make.com/mcp-server/make-cloud-mcp-server.

Does Make have a public API?

Yes — Make ships a REST API. Docs: https://developers.make.com/api-documentation.

How much does Make cost?

Make: pricing is freemium, expect entry tier ($) spend. Full pricing page: https://www.make.com/en/pricing.

Who is Make best for?

Make is built for GTM Engineer, Founder, RevOps. Fits Solo, SMB (1-50)-sized teams.

How well does Make fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.

Quick spec
MCP serverYes
ReadinessNative
Stack roleOrchestrator
Pricing
Freemium
$
Vendor pricing →
Ideal customer
Growth stage
Early-stage startup · Growth-stage
Company size
Solo · SMB (1-50)
Best for
GTM Engineer · Founder · RevOps