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Exposes Make scenarios as callable tools for AI assistants, enabling integration with Make automation workflows via API key authentication.
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Exposes Make scenarios as callable tools for AI assistants, enabling integration with Make automation workflows via API key authentication.
This MCP server is reasonably safe if the Make scenarios are designed with security in mind and the API key is protected. Risks increase if scenarios perform sensitive operations or interact with untrusted external services. Regularly audit Make scenarios for potential security vulnerabilities.
Performance is limited by the Make platform's execution speed and API rate limits. Consider optimizing scenarios for efficiency.
Cost depends on the number of scenario executions and the resources consumed by each execution within the Make platform.
{
"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>"
}
}
}
}invoke_scenarioExecutes a specified Make scenario with provided parameters and returns the output.
Scenarios can perform write operations or interact with external services.
API Key
scenarios:readscenarios:runThis MCP server is reasonably safe if the Make scenarios are designed with security in mind and the API key is protected. Risks increase if scenarios perform sensitive operations or interact with untrusted external services. Regularly audit Make scenarios for potential security vulnerabilities.
Autonomy depends entirely on the capabilities of the Make scenarios. Ensure scenarios are designed with appropriate safeguards and access controls.
Production Tip
Implement robust error handling and logging within your Make scenarios to ensure reliable operation and facilitate debugging.
A Make subscription that allows API access and scenario execution is required.
Treat your API key like a password. Store it securely and avoid committing it to version control.
Yes, only scenarios with 'On-Demand' scheduling are exposed.
The error will be returned to the AI assistant as a JSON response. Implement error handling within your scenarios for graceful failures.
Use the Make platform's built-in monitoring and logging tools.
Yes, Make enforces API rate limits. Refer to the Make documentation for details.
Yes, but you may need to encode the data as base64 or use a cloud storage service.