Swagger2OpenAPI Converter MCP Server
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about) Complete MCP server exposing 6 Swagger2OpenAPI Converter API operations to AI agents. ## Quick Setup 1. **Import** this workflow into your n8n instance 2. **Credentials** Add Swagger2OpenAPI Converter 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 ## How it Works This workflow converts the Swagger2OpenAPI Converter API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests - **HTTP Request Nodes**: Handle API calls to https://mermade.org.uk/api/v1 - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (6 total) ### Badge (1 endpoint) - **GET /badge**: Redirect to Badge SVG ### Convert (2 endpoints) - **GET /convert**: Convert Swagger in Body - **POST /convert**: Convert a Swagger 2.0 definition passed in the body to OpenAPI 3.0.x ### Status (1 endpoint) - **GET /status**: Check API Status ### Validate (2 endpoints) - **GET /validate**: Validate OpenAPI in Body - **POST /validate**: Validate an OpenAPI 3.0.x definition supplied in the body of the request ## AI Integration **Parameter Handling**: AI agents automatically provide values for: - Path parameters and identifiers - Query parameters and filters - Request body data - Headers and authentication **Response Format**: Native Swagger2OpenAPI Converter API responses with full data structure **Error Handling**: Built-in n8n HTTP request error management ## Usage Examples Connect this MCP server to any AI agent or workflow: - **Claude Desktop**: Add MCP server URL to configuration - **Cursor**: Add MCP server SSE URL to configuration - **Custom AI Apps**: Use MCP URL as tool endpoint - **API Integration**: Direct HTTP calls to MCP endpoints ## Benefits - **Zero Setup**: No parameter mapping or configuration needed - **AI-Ready**: Built-in `$fromAI()` expressions for all parameters - **Production Ready**: Native n8n HTTP request handling and logging - **Extensible**: Easily modify or add custom logic > **[Free for community use](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?
Complete MCP server exposing 6 Swagger2OpenAPI Converter API operations to AI agents.
Quick Setup
- Import this workflow into your n8n instance
- Credentials Add Swagger2OpenAPI Converter credentials
- Activate the workflow to start your MCP server
- Copy the webhook URL from the MCP trigger node
- Connect AI agents using the MCP URL
How it Works
This workflow converts the Swagger2OpenAPI Converter API into an MCP-compatible interface for AI agents.
- MCP Trigger: Serves as your server endpoint for AI agent requests
- HTTP Request Nodes: Handle API calls to https://mermade.org.uk/api/v1
- AI Expressions: Automatically populate parameters via
$fromAI()placeholders - Native Integration: Returns responses directly to the AI agent
Available Operations (6 total)
Badge (1 endpoint)
- GET /badge: Redirect to Badge SVG
Convert (2 endpoints)
- GET /convert: Convert Swagger in Body
- POST /convert: Convert a Swagger 2.0 definition passed in the body to OpenAPI 3.0.x
Status (1 endpoint)
- GET /status: Check API Status
Validate (2 endpoints)
- GET /validate: Validate OpenAPI in Body
- POST /validate: Validate an OpenAPI 3.0.x definition supplied in the body of the request
AI Integration
Parameter Handling: AI agents automatically provide values for:
- Path parameters and identifiers
- Query parameters and filters
- Request body data
- Headers and authentication
Response Format: Native Swagger2OpenAPI Converter API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
Usage Examples
Connect this MCP server to any AI agent or workflow:
- Claude Desktop: Add MCP server URL to configuration
- Cursor: Add MCP server SSE URL to configuration
- Custom AI Apps: Use MCP URL as tool endpoint
- API Integration: Direct HTTP calls to MCP endpoints
Benefits
- Zero Setup: No parameter mapping or configuration needed
- AI-Ready: Built-in
$fromAI()expressions for all parameters - Production Ready: Native n8n HTTP request handling and logging
- Extensible: Easily modify or add custom logic
Free for community use! Ready to deploy in under 2 minutes.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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