This n8n workflow creates a dynamic API interface for querying transportation laws and incentives related to alternative fuels, vehicles, and environmental regulations. It connects an MCP trigger to a series of HTTP request nodes that interact with the NREL Transportation Incentives API. The workflow starts by setting up the MCP server to listen for requests from an AI agent. When triggered, it gathers user input via AI expressions for parameters such as jurisdiction, technology, incentive type, and more, then makes API calls to fetch relevant laws, categories, or points of contact.
Step-by-step, the workflow does the following:
– The MCP trigger node listens for external requests from AI agents.
– It dynamically constructs API call URLs with parameters populated via AI expressions.
– Users can request a list of laws, detailed info by law ID, categories, or contact points.
– Each HTTP request node fetches data from the NREL API, passing necessary query parameters like API key, jurisdiction, law type, etc.
– Sticky notes provide setup instructions and data format notes for ease of configuration.
This automation is ideal for developers, policy analysts, or advocates needing real-time access to transportation law data, directly integrating with AI systems for analysis, reporting, or decision-making. It allows seamless integration with AI-driven automations that require up-to-date transportation legal information.
Practical use cases include automating compliance checks, policy research, or building intelligent dashboards that incorporate federal and state transportation laws and incentives data in real-time.
Reviews
There are no reviews yet.