Non ci sono articoli nel tuo carrello.
Complete MCP server exposing 4 Transportation Laws and Incentives API operations to AI agents.
Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?
This workflow converts the Transportation Laws and Incentives API into an MCP-compatible interface for AI agents.
β’ MCP Trigger: Serves as your server endpoint for AI agent requests
β’ HTTP Request Nodes: Handle API calls to http://developer.nrel.gov/api/transportation-incentives-laws
β’ AI Expressions: Automatically populate parameters via $fromAI()
placeholders
β’ Native Integration: Returns responses directly to the AI agent
β’ GET /v1.{output_format}: Return a full list of laws and incentives that match your query.
β’ GET /v1/category-list.{output_format}: Return the law categories for a given category type.
β’ GET /v1/pocs.{output_format}: Get the points of contact for a given jurisdiction.
β’ GET /v1/{id}.{output_format}: Fetch the details of a specific law given the law's ID.
Parameter Handling: AI agents automatically provide values for:
β’ Path parameters and identifiers
β’ Query parameters and filters
β’ Request body data
β’ Headers and authentication
Response Format: Native Transportation Laws and Incentives API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
Connect this MCP server to any AI agent or workflow:
β’ Claude Desktop: Add MCP server URL to configuration
β’ Cursor: Add MCP server SSE URL to configuration
β’ Custom AI Apps: Use MCP URL as tool endpoint
β’ API Integration: Direct HTTP calls to MCP endpoints
β’ Zero Setup: No parameter mapping or configuration needed
β’ AI-Ready: Built-in $fromAI()
expressions for all parameters
β’ Production Ready: Native n8n HTTP request handling and logging
β’ Extensible: Easily modify or add custom logic
π Free for community use! Ready to deploy in under 2 minutes.