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Complete MCP server exposing 6 Swagger2OpenAPI Converter API operations to AI agents.
This workflow converts the Swagger2OpenAPI Converter 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://mermade.org.uk/api/v1
β’ AI Expressions: Automatically populate parameters via $fromAI()
placeholders
β’ Native Integration: Returns responses directly to the AI agent
β’ GET /badge: Redirect to Badge SVG
β’ GET /convert: Convert Swagger in Body
β’ POST /convert: Convert a Swagger 2.0 definition passed in the body to OpenAPI 3.0.x
β’ GET /status: Check API Status
β’ GET /validate: Validate OpenAPI in Body
β’ POST /validate: Validate an OpenAPI 3.0.x definition supplied in the body of the request
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 Swagger2OpenAPI Converter 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.