This n8n workflow is designed to facilitate seamless access to the High Performance Building Database API through a custom MCP (Managed Cloud Platform) server, enabling AI agents to retrieve detailed project data efficiently. It sets up a trigger endpoint, processes API requests, and returns structured responses, making it ideal for integrating high-performance building data into AI-driven applications or dashboards.
The workflow begins with the ‘High Performance Building Database MCP Server’ node acting as a trigger, exposing a webhook endpoint for AI agents or external systems. When triggered, it activates the ‘List Projects’ or ‘Get Project Details’ nodes, which make HTTP requests to the API endpoints of the database. These nodes utilize dynamic parameters filled using AI expressions like ‘$fromAI()’ to customize requests based on input, such as project ID, search terms, or city. The ‘List Projects’ endpoint provides a filtered list of projects, while the ‘Get Project Details’ endpoint retrieves specific information about a single project.
The setup includes detailed instructions for configuration, customization, and integration, making it versatile for developers working in sustainable building projects, green certifications, or any scenario requiring structured access to high-performance building data for analysis or automation purposes. Practical applications of this workflow include automating data retrieval for dashboards, AI querying for project insights, and streamlined API management for building industry stakeholders.
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