# Make

> Use this tool when you need to integrate AI assistants with automation workflows, enabling them to trigger and interact with complex logic while maintaining a structured output. It solves problems of automating repetitive tasks and creating bidirectional communication between AI systems and existing workflows. The Make MCP Server takes input parameters and a Make API key, and returns structured JSON output, making it ideal for use cases requiring seamless interaction between AI assistants and automation workflows.

Canonical page: https://skillsregistry.net/skills/make  
JSON: https://api.skillsregistry.net/v1/skills/make

## Description

Make MCP Server enables AI assistants to trigger and interact with Make automation workflows through the Model Context Protocol. Developed by Make, it connects to your Make account to identify on-demand scenarios, parse input parameters, allow AI assistants to invoke scenarios with appropriate parameters, and return structured JSON output. The server runs as a Node.js application that can be installed via npm or run in a Docker container, requiring a Make API key with scenarios:read and scenarios:run scopes. This implementation is particularly valuable for maintaining complex automation logic in Make while exposing functionality to AI systems, creating bidirectional communication between assistants and existing workflows.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/make)
- **Repository:** <https://github.com/integromat/make-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "make"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/make` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/make/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt