Integrator MCP Server

Integrator MCP Server (legacy)

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

Note: This project is a fork of software originally developed by Make (MIT licensed).
It has been modified and is maintained by Boost.space.

How It Works

The MCP server:

Connects to your Integrator 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 Integrator scenarios into callable tools for AI assistants
Maintain complex automation logic in Integrator 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)
Integrator 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": {
        "integrator": {
            "command": "npx",
            "args": ["-y", "@boostspace/integrator-mcp-server"],
            "env": {
                "INTEGRATOR_API_KEY": "<your-api-key>",
                "INTEGRATOR_TEAM": "<your-team-id>"
            }
        }
    }
}

INTEGRATOR_API_KEY - You can generate an API key in your Integrator profile.
INTEGRATOR_TEAM - You can find the ID in the URL of the Team page.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that allows AI assistants to invoke and interact with Integrator automation workflows through an API connection.

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