Make.com MCP Server

Overview

The Make.com MCP Server bridges the gap between AI assistants and the powerful automation platform Make.com (formerly Integromat). By exposing a curated set of Make.com resources through the Model Context Protocol, it allows Claude and other AI clients to query scenario definitions, run automation flows, and retrieve contextual data without leaving the assistant’s environment. This capability is especially valuable for developers who need to orchestrate complex integrations or validate automation logic on the fly.

Problem Solved

Many AI assistants can only interact with local tools or pre‑configured APIs. When a developer wants to inspect, modify, or trigger Make.com scenarios from within an AI workflow, they typically have to switch between the assistant and the Make.com web interface or write custom scripts. The MCP server eliminates this friction by turning Make.com’s REST endpoints into first‑class tools that the assistant can call directly. It handles authentication, pagination, and data shaping behind the scenes, so developers can focus on higher‑level logic rather than boilerplate API calls.

Core Functionality

At its heart, the server offers a scenario blueprint reader. The tool fetches the JSON representation of a scenario’s structure, including modules, connections, and data paths. It supports both live and draft versions, giving users the flexibility to preview changes before deployment. The tool accepts a scenario ID and an optional flag, ensuring precise control over which blueprint is returned.

Beyond reading blueprints, the server’s configuration exposes scopes for additional Make.com resources—agents, apps, connections, custom properties, datastores, devices, and teams. While the current implementation focuses on scenario blueprints, these scopes lay the groundwork for future tools that could list available scenarios, trigger runs, or inspect team memberships.

Key Features Explained

• Unified API Exposure: All Make.com endpoints are wrapped in MCP tools, allowing seamless invocation from an AI assistant.
• Scope‑Based Access Control: The server’s API key is granted fine‑grained permissions (e.g., , ), ensuring that only the necessary data is exposed.
• Draft vs. Live Blueprints: By toggling the flag, developers can compare staging changes against production, aiding in continuous delivery workflows.
• Environment Flexibility: The server can target any Make.com region (), supporting multi‑region deployments.

Real‑World Use Cases

• Automated Documentation: An AI assistant can generate up‑to‑date documentation for a scenario by pulling its blueprint and formatting it into readable text.
• Debugging & Validation: Developers can ask the assistant to fetch a scenario’s blueprint and highlight missing modules or misconfigured connections before running it.
• Rapid Prototyping: When building a new integration, the assistant can pull existing scenario blueprints to serve as templates, speeding up development.
• Continuous Integration: CI pipelines can invoke the MCP server to verify that scenario blueprints meet policy standards before deployment.

Integration with AI Workflows

The MCP server is designed to fit naturally into existing Claude Desktop setups. Once registered in the , the assistant can call like any other tool, passing arguments in JSON. The server’s response—raw JSON of the scenario blueprint—is then available for further processing, such as generating summaries, extracting module lists, or comparing against a baseline. This tight coupling allows developers to weave Make.com automation into conversational AI without leaving the assistant’s interface.

Standout Advantages

• Zero‑Code Interaction: Developers can query and manipulate Make.com scenarios entirely through the assistant, eliminating manual API calls.
• Granular Control: The ability to choose between draft and live blueprints empowers safe experimentation.
• Scalable Foundations: The exposed scopes and modular design position the server for future expansion into other Make.com capabilities, such as running scenarios or managing connections.

In summary, the Make.com MCP Server transforms a powerful automation platform into an AI‑friendly resource. By exposing scenario blueprints and related data through MCP, it streamlines development workflows, enhances debugging capabilities, and unlocks new possibilities for integrating Make.com into AI‑driven applications.