Connect AI Agents to EPA Clean Air Act Data with MCP Integration

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Complete MCP server exposing 16 U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act API operations to AI agents.

⚑ Quick Setup

  1. Import this workflow into your n8n instance
  2. Credentials Add U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act credentials
  3. Activate the workflow to start your MCP server
  4. Copy the webhook URL from the MCP trigger node
  5. Connect AI agents using the MCP URL

πŸ”§ How it Works

This workflow converts the U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act 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 https://echodata.epa.gov/echo
β€’ AI Expressions: Automatically populate parameters via $fromAI() placeholders
β€’ Native Integration: Returns responses directly to the AI agent

πŸ“‹ Available Operations (16 total)

πŸ”§ Air_Rest_Services.Get_Download (2 endpoints)

β€’ GET /air_rest_services.get_download: Request Air Quality Data
β€’ POST /air_rest_services.get_download: Clean Air Act Download Data Service

πŸ”§ Air_Rest_Services.Get_Facilities (2 endpoints)

β€’ GET /air_rest_services.get_facilities: Query Air Quality Facilities
β€’ POST /air_rest_services.get_facilities: Clean Air Act Facility Search

πŸ”§ Air_Rest_Services.Get_Facility_Info (2 endpoints)

β€’ GET /air_rest_services.get_facility_info: Request Facility Details
β€’ POST /air_rest_services.get_facility_info: Clean Air Act Facility Enhanced Search

πŸ”§ Air_Rest_Services.Get_Geojson (2 endpoints)

β€’ GET /air_rest_services.get_geojson: Request Air Quality GeoJSON
β€’ POST /air_rest_services.get_geojson: Clean Air Act GeoJSON Service

πŸ”§ Air_Rest_Services.Get_Info_Clusters (2 endpoints)

β€’ GET /air_rest_services.get_info_clusters: Request Info Clusters Data
β€’ POST /air_rest_services.get_info_clusters: Clean Air Act Info Clusters Service

πŸ”§ Air_Rest_Services.Get_Map (2 endpoints)

β€’ GET /air_rest_services.get_map: Request Air Quality Map
β€’ POST /air_rest_services.get_map: Clean Air Act Map Service

πŸ”§ Air_Rest_Services.Get_Qid (2 endpoints)

β€’ GET /air_rest_services.get_qid: Query by Query ID
β€’ POST /air_rest_services.get_qid: Clean Air Act Search by Query ID

πŸ”§ Air_Rest_Services.Metadata (2 endpoints)

β€’ GET /air_rest_services.metadata: Request Air Quality Metadata
β€’ POST /air_rest_services.metadata: Clean Air Act Metadata Service

πŸ€– AI Integration

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 U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act API responses with full data structure

Error Handling: Built-in n8n HTTP request error management

πŸ’‘ Usage Examples

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

✨ Benefits

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

πŸ†“ Free for community use! Ready to deploy in under 2 minutes.