39 tools from the AWS HealthImaging MCP Server MCP Server, categorised by risk level.
View the AWS HealthImaging MCP Server policy →get_datastore Get information about a specific data store. get_dicom_export_job Get information about a DICOM export job. get_dicom_import_job Get information about a DICOM import job. get_image_frame Get a specific image frame. get_image_set Get information about a specific image set. get_image_set_metadata Get metadata for a specific image set. get_patient_dicomweb_studies Retrieve DICOMweb SearchStudies level information for a given patient ID. get_patient_series Get all series for a specific patient. get_patient_studies Get all studies for a specific patient. get_series_primary_image_set Get the primary image set for a given series. get_study_primary_image_sets Get primary image sets for a specific study. list_datastores List all data stores in the account. list_dicom_export_jobs List DICOM export jobs for a data store. list_dicom_import_jobs List DICOM import jobs for a data store. list_image_set_versions List versions of an image set. list_tags_for_resource List tags for a resource. search_by_patient_id Search for image sets by patient ID. search_by_series_uid Search for image sets by series instance UID. search_by_study_uid Search for image sets by study instance UID. search_image_sets Search for image sets in a data store. bulk_update_patient_metadata Update patient metadata across all studies for a patient. copy_image_set Copy an image set. create_datastore Create a new data store in AWS HealthImaging. tag_resource Add tags to a resource. update_image_set_metadata Update metadata for an image set. update_patient_study_metadata Update Patient/Study metadata for an entire study. bulk_delete_by_criteria Delete multiple image sets matching specified criteria. delete_datastore Delete a data store from AWS HealthImaging. delete_image_set Delete an image set. delete_instance_in_series Delete a specific instance in a series. delete_instance_in_study Delete a specific instance in a study. delete_patient_studies Delete all studies for a specific patient. delete_series_by_uid Delete a series by SeriesInstanceUID using metadata updates. delete_study Delete all image sets for a specific study. remove_instance_from_image_set Remove a specific instance from an image set using DICOM hierarchy operations. remove_series_from_image_set Remove a specific series from an image set using DICOM hierarchy operations. untag_resource Remove tags from a resource. The AWS HealthImaging MCP Server MCP server exposes 39 tools across 4 categories: Read, Write, Destructive, Execute.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the AWS HealthImaging MCP Server server.
AWS HealthImaging MCP Server tools are categorised as Read (20), Write (6), Destructive (11), Execute (2). Each category has a recommended default policy.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.