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制作MCP-Server
制作MCP服务器
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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
andscenarios: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.
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Reviews

user_4BXto3No
I've been using make-mcp-server from integromat and it is a game changer! The seamless integration and robust performance are unparalleled. It's incredibly user-friendly and enhances automation tasks like nothing else. Highly recommend for anyone looking to streamline their workflow. Check it out on GitHub!