Amazon Neptune Data API — ML

naftiko: 1.0.0-alpha2
info:
  label: Amazon Neptune Data API — ML
  description: 'Amazon Neptune Data API — ML. 16 operations. Lead operation: Amazon Neptune Start an ML Data Processing Job.
    Self-contained Naftiko capability covering one Amazon Neptune business surface.'
  tags:
  - Amazon Neptune
  - ML
  created: '2026-05-19'
  modified: '2026-05-19'
binds:
- namespace: env
  keys:
    AMAZON_NEPTUNE_API_KEY: AMAZON_NEPTUNE_API_KEY
capability:
  consumes:
  - type: http
    namespace: data-ml
    baseUri: https://neptune-db.{region}.amazonaws.com
    description: Amazon Neptune Data API — ML business capability. Self-contained, no shared references.
    resources:
    - name: ml-dataprocessing
      path: /ml/dataprocessing
      operations:
      - name: startmldataprocessingjob
        method: POST
        description: Amazon Neptune Start an ML Data Processing Job
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: body
          in: body
          type: object
          description: Request body (JSON).
          required: true
      - name: listmldataprocessingjobs
        method: GET
        description: Amazon Neptune List ML Data Processing Jobs
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: maxItems
          in: query
          type: integer
          description: Maximum number of items to return (default 10, max 1024).
        - name: neptuneIamRoleArn
          in: query
          type: string
          description: The ARN of the IAM role for Neptune access.
    - name: ml-dataprocessing-jobId
      path: /ml/dataprocessing/{jobId}
      operations:
      - name: getmldataprocessingjobstatus
        method: GET
        description: Amazon Neptune Get ML Data Processing Job Status
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: jobId
          in: path
          type: string
          description: The unique identifier of the data processing job.
          required: true
        - name: neptuneIamRoleArn
          in: query
          type: string
          description: The ARN of the IAM role for Neptune access.
      - name: cancelmldataprocessingjob
        method: DELETE
        description: Amazon Neptune Cancel an ML Data Processing Job
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: jobId
          in: path
          type: string
          description: The unique identifier of the data processing job.
          required: true
        - name: clean
          in: query
          type: boolean
          description: Whether to delete all S3 artifacts when cancelling.
        - name: neptuneIamRoleArn
          in: query
          type: string
          description: The ARN of the IAM role for Neptune access.
    - name: ml-endpoints
      path: /ml/endpoints
      operations:
      - name: createmlendpoint
        method: POST
        description: Amazon Neptune Create an ML Inference Endpoint
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: body
          in: body
          type: object
          description: Request body (JSON).
          required: true
      - name: listmlendpoints
        method: GET
        description: Amazon Neptune List ML Inference Endpoints
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: maxItems
          in: query
          type: integer
        - name: neptuneIamRoleArn
          in: query
          type: string
    - name: ml-endpoints-endpointId
      path: /ml/endpoints/{endpointId}
      operations:
      - name: getmlendpointstatus
        method: GET
        description: Amazon Neptune Get ML Inference Endpoint Status
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: endpointId
          in: path
          type: string
          required: true
        - name: neptuneIamRoleArn
          in: query
          type: string
      - name: deletemlendpoint
        method: DELETE
        description: Amazon Neptune Delete an ML Inference Endpoint
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: endpointId
          in: path
          type: string
          required: true
        - name: clean
          in: query
          type: boolean
        - name: neptuneIamRoleArn
          in: query
          type: string
    - name: ml-modeltraining
      path: /ml/modeltraining
      operations:
      - name: startmlmodeltrainingjob
        method: POST
        description: Amazon Neptune Start an ML Model Training Job
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: body
          in: body
          type: object
          description: Request body (JSON).
          required: true
      - name: listmlmodeltrainingjobs
        method: GET
        description: Amazon Neptune List ML Model Training Jobs
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: maxItems
          in: query
          type: integer
        - name: neptuneIamRoleArn
          in: query
          type: string
    - name: ml-modeltraining-jobId
      path: /ml/modeltraining/{jobId}
      operations:
      - name: getmlmodeltrainingjobstatus
        method: GET
        description: Amazon Neptune Get ML Model Training Job Status
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: jobId
          in: path
          type: string
          required: true
        - name: neptuneIamRoleArn
          in: query
          type: string
      - name: cancelmlmodeltrainingjob
        method: DELETE
        description: Amazon Neptune Cancel an ML Model Training Job
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: jobId
          in: path
          type: string
          required: true
        - name: clean
          in: query
          type: boolean
        - name: neptuneIamRoleArn
          in: query
          type: string
    - name: ml-modeltransform
      path: /ml/modeltransform
      operations:
      - name: startmlmodeltransformjob
        method: POST
        description: Amazon Neptune Start an ML Model Transform Job
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: body
          in: body
          type: object
          description: Request body (JSON).
          required: true
      - name: listmlmodeltransformjobs
        method: GET
        description: Amazon Neptune List ML Model Transform Jobs
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: maxItems
          in: query
          type: integer
        - name: neptuneIamRoleArn
          in: query
          type: string
    - name: ml-modeltransform-jobId
      path: /ml/modeltransform/{jobId}
      operations:
      - name: getmlmodeltransformjobstatus
        method: GET
        description: Amazon Neptune Get ML Model Transform Job Status
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: jobId
          in: path
          type: string
          required: true
        - name: neptuneIamRoleArn
          in: query
          type: string
      - name: cancelmlmodeltransformjob
        method: DELETE
        description: Amazon Neptune Cancel an ML Model Transform Job
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
        inputParameters:
        - name: jobId
          in: path
          type: string
          required: true
        - name: clean
          in: query
          type: boolean
        - name: neptuneIamRoleArn
          in: query
          type: string
    authentication:
      type: apikey
      key: Authorization
      value: '{{env.AMAZON_NEPTUNE_API_KEY}}'
      placement: header
  exposes:
  - type: rest
    namespace: data-ml-rest
    port: 8080
    description: REST adapter for Amazon Neptune Data API — ML. One Spectral-compliant resource per consumed operation, prefixed
      with /v1.
    resources:
    - path: /v1/ml/dataprocessing
      name: ml-dataprocessing
      description: REST surface for ml-dataprocessing.
      operations:
      - method: POST
        name: startmldataprocessingjob
        description: Amazon Neptune Start an ML Data Processing Job
        call: data-ml.startmldataprocessingjob
        with:
          body: rest.body
        outputParameters:
        - type: object
          mapping: $.
      - method: GET
        name: listmldataprocessingjobs
        description: Amazon Neptune List ML Data Processing Jobs
        call: data-ml.listmldataprocessingjobs
        with:
          maxItems: rest.maxItems
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/dataprocessing/{jobid}
      name: ml-dataprocessing-jobid
      description: REST surface for ml-dataprocessing-jobId.
      operations:
      - method: GET
        name: getmldataprocessingjobstatus
        description: Amazon Neptune Get ML Data Processing Job Status
        call: data-ml.getmldataprocessingjobstatus
        with:
          jobId: rest.jobId
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
      - method: DELETE
        name: cancelmldataprocessingjob
        description: Amazon Neptune Cancel an ML Data Processing Job
        call: data-ml.cancelmldataprocessingjob
        with:
          jobId: rest.jobId
          clean: rest.clean
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/endpoints
      name: ml-endpoints
      description: REST surface for ml-endpoints.
      operations:
      - method: POST
        name: createmlendpoint
        description: Amazon Neptune Create an ML Inference Endpoint
        call: data-ml.createmlendpoint
        with:
          body: rest.body
        outputParameters:
        - type: object
          mapping: $.
      - method: GET
        name: listmlendpoints
        description: Amazon Neptune List ML Inference Endpoints
        call: data-ml.listmlendpoints
        with:
          maxItems: rest.maxItems
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/endpoints/{endpointid}
      name: ml-endpoints-endpointid
      description: REST surface for ml-endpoints-endpointId.
      operations:
      - method: GET
        name: getmlendpointstatus
        description: Amazon Neptune Get ML Inference Endpoint Status
        call: data-ml.getmlendpointstatus
        with:
          endpointId: rest.endpointId
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
      - method: DELETE
        name: deletemlendpoint
        description: Amazon Neptune Delete an ML Inference Endpoint
        call: data-ml.deletemlendpoint
        with:
          endpointId: rest.endpointId
          clean: rest.clean
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/modeltraining
      name: ml-modeltraining
      description: REST surface for ml-modeltraining.
      operations:
      - method: POST
        name: startmlmodeltrainingjob
        description: Amazon Neptune Start an ML Model Training Job
        call: data-ml.startmlmodeltrainingjob
        with:
          body: rest.body
        outputParameters:
        - type: object
          mapping: $.
      - method: GET
        name: listmlmodeltrainingjobs
        description: Amazon Neptune List ML Model Training Jobs
        call: data-ml.listmlmodeltrainingjobs
        with:
          maxItems: rest.maxItems
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/modeltraining/{jobid}
      name: ml-modeltraining-jobid
      description: REST surface for ml-modeltraining-jobId.
      operations:
      - method: GET
        name: getmlmodeltrainingjobstatus
        description: Amazon Neptune Get ML Model Training Job Status
        call: data-ml.getmlmodeltrainingjobstatus
        with:
          jobId: rest.jobId
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
      - method: DELETE
        name: cancelmlmodeltrainingjob
        description: Amazon Neptune Cancel an ML Model Training Job
        call: data-ml.cancelmlmodeltrainingjob
        with:
          jobId: rest.jobId
          clean: rest.clean
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/modeltransform
      name: ml-modeltransform
      description: REST surface for ml-modeltransform.
      operations:
      - method: POST
        name: startmlmodeltransformjob
        description: Amazon Neptune Start an ML Model Transform Job
        call: data-ml.startmlmodeltransformjob
        with:
          body: rest.body
        outputParameters:
        - type: object
          mapping: $.
      - method: GET
        name: listmlmodeltransformjobs
        description: Amazon Neptune List ML Model Transform Jobs
        call: data-ml.listmlmodeltransformjobs
        with:
          maxItems: rest.maxItems
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/ml/modeltransform/{jobid}
      name: ml-modeltransform-jobid
      description: REST surface for ml-modeltransform-jobId.
      operations:
      - method: GET
        name: getmlmodeltransformjobstatus
        description: Amazon Neptune Get ML Model Transform Job Status
        call: data-ml.getmlmodeltransformjobstatus
        with:
          jobId: rest.jobId
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
      - method: DELETE
        name: cancelmlmodeltransformjob
        description: Amazon Neptune Cancel an ML Model Transform Job
        call: data-ml.cancelmlmodeltransformjob
        with:
          jobId: rest.jobId
          clean: rest.clean
          neptuneIamRoleArn: rest.neptuneIamRoleArn
        outputParameters:
        - type: object
          mapping: $.
  - type: mcp
    namespace: data-ml-mcp
    port: 9090
    transport: http
    description: MCP adapter for Amazon Neptune Data API — ML. One tool per consumed operation, routed inline through this
      capability's consumes block.
    tools:
    - name: amazon-neptune-start-ml-data
      description: Amazon Neptune Start an ML Data Processing Job
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: data-ml.startmldataprocessingjob
      with:
        body: tools.body
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-list-ml-data
      description: Amazon Neptune List ML Data Processing Jobs
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.listmldataprocessingjobs
      with:
        maxItems: tools.maxItems
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-get-ml-data
      description: Amazon Neptune Get ML Data Processing Job Status
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.getmldataprocessingjobstatus
      with:
        jobId: tools.jobId
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-cancel-ml-data
      description: Amazon Neptune Cancel an ML Data Processing Job
      hints:
        readOnly: false
        destructive: true
        idempotent: true
      call: data-ml.cancelmldataprocessingjob
      with:
        jobId: tools.jobId
        clean: tools.clean
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-create-ml-inference
      description: Amazon Neptune Create an ML Inference Endpoint
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: data-ml.createmlendpoint
      with:
        body: tools.body
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-list-ml-inference
      description: Amazon Neptune List ML Inference Endpoints
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.listmlendpoints
      with:
        maxItems: tools.maxItems
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-get-ml-inference
      description: Amazon Neptune Get ML Inference Endpoint Status
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.getmlendpointstatus
      with:
        endpointId: tools.endpointId
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-delete-ml-inference
      description: Amazon Neptune Delete an ML Inference Endpoint
      hints:
        readOnly: false
        destructive: true
        idempotent: true
      call: data-ml.deletemlendpoint
      with:
        endpointId: tools.endpointId
        clean: tools.clean
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-start-ml-model
      description: Amazon Neptune Start an ML Model Training Job
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: data-ml.startmlmodeltrainingjob
      with:
        body: tools.body
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-list-ml-model
      description: Amazon Neptune List ML Model Training Jobs
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.listmlmodeltrainingjobs
      with:
        maxItems: tools.maxItems
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-get-ml-model
      description: Amazon Neptune Get ML Model Training Job Status
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.getmlmodeltrainingjobstatus
      with:
        jobId: tools.jobId
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-cancel-ml-model
      description: Amazon Neptune Cancel an ML Model Training Job
      hints:
        readOnly: false
        destructive: true
        idempotent: true
      call: data-ml.cancelmlmodeltrainingjob
      with:
        jobId: tools.jobId
        clean: tools.clean
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-start-ml-model-2
      description: Amazon Neptune Start an ML Model Transform Job
      hints:
        readOnly: false
        destructive: false
        idempotent: false
      call: data-ml.startmlmodeltransformjob
      with:
        body: tools.body
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-list-ml-model-2
      description: Amazon Neptune List ML Model Transform Jobs
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.listmlmodeltransformjobs
      with:
        maxItems: tools.maxItems
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-get-ml-model-2
      description: Amazon Neptune Get ML Model Transform Job Status
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: data-ml.getmlmodeltransformjobstatus
      with:
        jobId: tools.jobId
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.
    - name: amazon-neptune-cancel-ml-model-2
      description: Amazon Neptune Cancel an ML Model Transform Job
      hints:
        readOnly: false
        destructive: true
        idempotent: true
      call: data-ml.cancelmlmodeltransformjob
      with:
        jobId: tools.jobId
        clean: tools.clean
        neptuneIamRoleArn: tools.neptuneIamRoleArn
      outputParameters:
      - type: object
        mapping: $.