developer-tools

Make

by integromat

Connect AI assistants to Make automation — trigger Make scenarios via API, pass parameters and get structured JSON from

Connects AI systems to Make automation workflows, enabling assistants to trigger scenarios with parameters and receive structured JSON output from your existing Make account.

github stars

153

Works with existing Make scenariosAuto-detects on-demand workflowsLegacy version available

best for

  • / Automation engineers exposing Make workflows to AI
  • / Building AI assistants that need workflow integration
  • / Creating bidirectional AI-automation communication

capabilities

  • / Trigger Make scenarios from AI assistants
  • / Pass parameters to automation workflows
  • / Receive structured JSON output from scenarios
  • / Access all on-demand scheduled scenarios
  • / Parse scenario input parameters automatically

what it does

Connects AI assistants to your Make automation workflows, allowing them to trigger on-demand scenarios with parameters and receive structured results.

about

Make is an official MCP server published by integromat that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect AI assistants to Make automation — trigger Make scenarios via API, pass parameters and get structured JSON from It is categorized under developer tools.

how to install

You can install Make in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Make is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Make MCP Server (legacy)

A modern, cloud-based version of the Make MCP Server is now available. For most use cases, we recommend using this new version.

A Model Context Protocol server that enables Make scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Make automation workflows.

How It Works

The MCP server:

  • Connects to your Make account and identifies all scenarios configured with "On-Demand" scheduling
  • Parses and resolves input parameters for each scenario, providing AI assistants with meaningful parameter descriptions
  • Allows AI assistants to invoke scenarios with appropriate parameters
  • Returns scenario output as structured JSON, enabling AI assistants to properly interpret the results

Benefits

  • Turn your Make scenarios into callable tools for AI assistants
  • Maintain complex automation logic in Make while exposing functionality to AI systems
  • Create bidirectional communication between your AI assistants and your existing automation workflows

Usage with Claude Desktop

Prerequisites

  • NodeJS
  • MCP Client (like Claude Desktop App)
  • Make API Key with scenarios:read and scenarios:run scopes

Installation

To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:

{
    "mcpServers": {
        "make": {
            "command": "npx",
            "args": ["-y", "@makehq/mcp-server"],
            "env": {
                "MAKE_API_KEY": "<your-api-key>",
                "MAKE_ZONE": "<your-zone>",
                "MAKE_TEAM": "<your-team-id>"
            }
        }
    }
}
  • MAKE_API_KEY - You can generate an API key in your Make profile.
  • MAKE_ZONE - The zone your organization is hosted in (e.g., eu2.make.com).
  • MAKE_TEAM - You can find the ID in the URL of the Team page.

FAQ

What is the Make MCP server?
Make is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Make?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Make is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Make against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Make is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Make reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Make for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Make surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Make has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Make benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Make into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Make is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.