naftiko: 1.0.0-alpha2
info:
  label: Google Cloud AutoML API
  description: Trains and deploys custom machine learning models using Google's AutoML technology with transfer learning and
    neural architecture search.
  tags:
  - Google
  - Cloud
  - Automl
  - API
  created: '2026-05-06'
  modified: '2026-05-06'
capability:
  consumes:
  - type: http
    namespace: google-cloud-automl
    baseUri: https://automl.googleapis.com/v1
    description: Google Cloud AutoML API HTTP API.
    resources:
    - name: projects-projectid-locations-location-datasets
      path: /projects/{projectId}/locations/{location}/datasets
      operations:
      - name: listdatasets
        method: GET
        description: Google Cloud AutoML List datasets
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
      - name: createdataset
        method: POST
        description: Google Cloud AutoML Create a dataset
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
    - name: projects-projectid-locations-location-models
      path: /projects/{projectId}/locations/{location}/models
      operations:
      - name: listmodels
        method: GET
        description: Google Cloud AutoML List models
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
      - name: createmodel
        method: POST
        description: Google Cloud AutoML Create a model
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
    - name: projects-projectid-locations-location-models-mod
      path: /projects/{projectId}/locations/{location}/models/{modelId}
      operations:
      - name: getmodel
        method: GET
        description: Google Cloud AutoML Get a model
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        - name: modelId
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
      - name: deletemodel
        method: DELETE
        description: Google Cloud AutoML Delete a model
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        - name: modelId
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
    - name: projects-projectid-locations-location-models-mod
      path: /projects/{projectId}/locations/{location}/models/{modelId}:predict
      operations:
      - name: predict
        method: POST
        description: Google Cloud AutoML Make a prediction
        inputParameters:
        - name: projectId
          in: path
          type: string
          required: true
        - name: location
          in: path
          type: string
          required: true
        - name: modelId
          in: path
          type: string
          required: true
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
  exposes:
  - type: rest
    port: 8080
    namespace: google-cloud-automl-rest
    description: REST adapter for Google Cloud AutoML API.
    resources:
    - path: /projects/{projectId}/locations/{location}/datasets
      name: listdatasets
      operations:
      - method: GET
        name: listdatasets
        description: Google Cloud AutoML List datasets
        call: google-cloud-automl.listdatasets
        with:
          projectId: rest.projectId
          location: rest.location
        outputParameters:
        - type: object
          mapping: $.
    - path: /projects/{projectId}/locations/{location}/datasets
      name: createdataset
      operations:
      - method: POST
        name: createdataset
        description: Google Cloud AutoML Create a dataset
        call: google-cloud-automl.createdataset
        with:
          projectId: rest.projectId
          location: rest.location
        outputParameters:
        - type: object
          mapping: $.
    - path: /projects/{projectId}/locations/{location}/models
      name: listmodels
      operations:
      - method: GET
        name: listmodels
        description: Google Cloud AutoML List models
        call: google-cloud-automl.listmodels
        with:
          projectId: rest.projectId
          location: rest.location
        outputParameters:
        - type: object
          mapping: $.
    - path: /projects/{projectId}/locations/{location}/models
      name: createmodel
      operations:
      - method: POST
        name: createmodel
        description: Google Cloud AutoML Create a model
        call: google-cloud-automl.createmodel
        with:
          projectId: rest.projectId
          location: rest.location
        outputParameters:
        - type: object
          mapping: $.
    - path: /projects/{projectId}/locations/{location}/models/{modelId}
      name: getmodel
      operations:
      - method: GET
        name: getmodel
        description: Google Cloud AutoML Get a model
        call: google-cloud-automl.getmodel
        with:
          projectId: rest.projectId
          location: rest.location
          modelId: rest.modelId
        outputParameters:
        - type: object
          mapping: $.
    - path: /projects/{projectId}/locations/{location}/models/{modelId}
      name: deletemodel
      operations:
      - method: DELETE
        name: deletemodel
        description: Google Cloud AutoML Delete a model
        call: google-cloud-automl.deletemodel
        with:
          projectId: rest.projectId
          location: rest.location
          modelId: rest.modelId
        outputParameters:
        - type: object
          mapping: $.
    - path: /projects/{projectId}/locations/{location}/models/{modelId}:predict
      name: predict
      operations:
      - method: POST
        name: predict
        description: Google Cloud AutoML Make a prediction
        call: google-cloud-automl.predict
        with:
          projectId: rest.projectId
          location: rest.location
          modelId: rest.modelId
        outputParameters:
        - type: object
          mapping: $.
  - type: mcp
    port: 9090
    namespace: google-cloud-automl-mcp
    transport: http
    description: MCP adapter for Google Cloud AutoML API for AI agent use.
    tools:
    - name: listdatasets
      description: Google Cloud AutoML List datasets
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: google-cloud-automl.listdatasets
      with:
        projectId: tools.projectId
        location: tools.location
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: createdataset
      description: Google Cloud AutoML Create a dataset
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: google-cloud-automl.createdataset
      with:
        projectId: tools.projectId
        location: tools.location
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: listmodels
      description: Google Cloud AutoML List models
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: google-cloud-automl.listmodels
      with:
        projectId: tools.projectId
        location: tools.location
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: createmodel
      description: Google Cloud AutoML Create a model
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: google-cloud-automl.createmodel
      with:
        projectId: tools.projectId
        location: tools.location
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: getmodel
      description: Google Cloud AutoML Get a model
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: google-cloud-automl.getmodel
      with:
        projectId: tools.projectId
        location: tools.location
        modelId: tools.modelId
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      - name: modelId
        type: string
        description: modelId
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: deletemodel
      description: Google Cloud AutoML Delete a model
      hints:
        readOnly: false
        destructive: true
        idempotent: true
      call: google-cloud-automl.deletemodel
      with:
        projectId: tools.projectId
        location: tools.location
        modelId: tools.modelId
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      - name: modelId
        type: string
        description: modelId
        required: true
      outputParameters:
      - type: object
        mapping: $.
    - name: predict
      description: Google Cloud AutoML Make a prediction
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: google-cloud-automl.predict
      with:
        projectId: tools.projectId
        location: tools.location
        modelId: tools.modelId
      inputParameters:
      - name: projectId
        type: string
        description: projectId
        required: true
      - name: location
        type: string
        description: location
        required: true
      - name: modelId
        type: string
        description: modelId
        required: true
      outputParameters:
      - type: object
        mapping: $.