- CONTROLLERS
- SERVICES
- MODELS
- HUMAN
Short answer
How can I use my AI to scaffold service boilerplate?
Give your AI a full OpenAPI 3.0 specification through Apidog. Your agent uses that data to write the controllers and service-layer code for you. You'll get a functional code skeleton to build upon.
The results
What your agent produces
The code your AI generates after reading the spec.
CONTROLLERS
Ready-to-use controllers
The AI generates the routing and request handling logic. You get the entry points for your API endpoints.
SERVICES
Service-layer code
Your agent builds the business logic structure. It maps the API paths to the necessary service functions.
MODELS
Data models and types
The AI creates the data structures defined in your spec. This ensures your code matches your API schema.
HUMAN
Manual implementation
The AI provides the skeleton, but you still need to write the actual database queries and complex logic. You handle the final implementation.
The workflow
What your AI does when the spec arrives.
The AI uses the exported specification to understand your API's shape and requirements.
Fetch the spec
The AI pulls the full OpenAPI 3.0 definition from your Apidog project.
export_openapiAnalyze endpoints
Your agent reads the paths and methods to identify every required controller.
export_openapiMap data models
The AI parses the request and response schemas to build the necessary service-layer types.
export_openapiGenerate code
The agent writes the boilerplate code blocks for the controllers and services.
export_openapi
Try it
Copy these to start.
Use these prompts to kick off the scaffolding process.
Starting points
These are opening lines. Replace the bracketed text with your specific service or endpoint names.
Apidog Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1gfzKqa8BKdlksvlirUta1L3JF2RLj6gA89JA1li/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Apidog capabilities are ready to use.
{
"mcpServers": {
"apidog-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1gfzKqa8BKdlksvlirUta1L3JF2RLj6gA89JA1li/mcp"
}
}
}Use the Apidog spec to scaffold the controllers for my user management service.
Generate the service-layer code for the payment endpoints in this OpenAPI definition.
Based on the exported spec, write the boilerplate for my product catalog API.
Create the controller logic for the authentication endpoints found in the Apidog project.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Apidog once, then ask.
Link your Apidog account to Vinkius in one click. Once connected, your AI client can immediately access your API specifications.
Connect Apidog to your AIFAQ
How this task behaves
- 01
Does the AI write my actual business logic?
No. The AI scaffolds the structure and the service-layer skeleton. You must write the specific business rules and database interactions yourself.
- 02
Can the AI change my OpenAPI spec?
No. The AI only reads the specification via the export tool to generate code. It cannot modify your original Apidog documentation.
- 03
What version of OpenAPI is supported?
The tool specifically uses OpenAPI 3.0 specifications to ensure accurate code generation.
- 04
Do I need to manually export the spec every time?
No. Once the Apidog Connector is connected, your AI can access the spec directly through the tool.
- 05
Will the generated code work immediately?
The code provides the necessary structure, but you will need to add your specific dependencies and implementation details to make it functional.
More questions about Apidog? See everything the Apidog Connector can do
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