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Complete MCP server exposing 14 doqs.dev | PDF filling API operations to AI agents.
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This workflow converts the doqs.dev | PDF filling 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://api.doqs.dev/v1
β’ AI Expressions: Automatically populate parameters via $fromAI()
placeholders
β’ Native Integration: Returns responses directly to the AI agent
β’ GET /designer/templates/: List Templates
β’ POST /designer/templates/: Create Template
β’ POST /designer/templates/preview: Preview
β’ DELETE /designer/templates/{id}: Delete
β’ GET /designer/templates/{id}: List Templates
β’ PUT /designer/templates/{id}: Update Template
β’ POST /designer/templates/{id}/generate: Generate Pdf
β’ GET /templates: List
β’ POST /templates: Create
β’ DELETE /templates/{id}: Delete
β’ GET /templates/{id}: Get Template
β’ PUT /templates/{id}: Update
β’ GET /templates/{id}/file: Get File
β’ POST /templates/{id}/fill: Fill
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 doqs.dev | PDF filling 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.