Google Cloud AutoML · Capability

Google Cloud AutoML API

Trains and deploys custom machine learning models using Google's AutoML technology with transfer learning and neural architecture search.

Run with Naftiko GoogleCloudAutomlAPI

What You Can Do

GET
Listdatasets — Google Cloud AutoML List datasets
/projects/{projectId}/locations/{location}/datasets
POST
Createdataset — Google Cloud AutoML Create a dataset
/projects/{projectId}/locations/{location}/datasets
GET
Listmodels — Google Cloud AutoML List models
/projects/{projectId}/locations/{location}/models
POST
Createmodel — Google Cloud AutoML Create a model
/projects/{projectId}/locations/{location}/models
GET
Getmodel — Google Cloud AutoML Get a model
/projects/{projectId}/locations/{location}/models/{modelId}
DELETE
Deletemodel — Google Cloud AutoML Delete a model
/projects/{projectId}/locations/{location}/models/{modelId}
POST
Predict — Google Cloud AutoML Make a prediction
/projects/{projectId}/locations/{location}/models/{modelId}:predict

MCP Tools

listdatasets

Google Cloud AutoML List datasets

read-only idempotent
createdataset

Google Cloud AutoML Create a dataset

listmodels

Google Cloud AutoML List models

read-only idempotent
createmodel

Google Cloud AutoML Create a model

getmodel

Google Cloud AutoML Get a model

read-only idempotent
deletemodel

Google Cloud AutoML Delete a model

idempotent
predict

Google Cloud AutoML Make a prediction

Capability Spec

google-cloud-automl-capability.yaml Raw ↑ 
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: $.