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MoleCare
by MoleCare

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_user_molesA

Get all moles for a user with their current risk levels and last analysis dates. Use this to understand a user's overall skin health status.

get_mole_analysisA

Get detailed ML analysis results for a specific mole including ABCDE scores (Asymmetry, Border, Color, Diameter, Evolution). Use this to explain analysis results to users.

get_mole_changesA

Get the change history for a mole over time, including size changes, color changes, and trend analysis. Use this to explain how a mole has evolved.

get_user_risk_factorsB

Get a user's skin cancer risk factors including skin type, family history, sun exposure habits, and calculated risk level. Use this for personalized advice.

search_medical_infoA

Search the medical knowledge base for skin health information. Use this to provide accurate educational content about skin conditions, ABCDE criteria, and prevention tips.

compare_molesA

Compare two mole images to identify changes. Use this when a user asks about changes between photos.

lookup_medical_conceptC

Look up a medical concept by SNOMED CT code. Returns detailed information about skin conditions including severity and category. Use this to provide accurate medical terminology.

search_medical_conceptsA

Search for medical concepts by name or description. Returns matching SNOMED CT concepts for dermatology conditions.

get_condition_progressionA

Get information about how a skin condition can progress. Shows potential progression paths (e.g., dysplastic nevus to melanoma).

map_snomed_to_icd10A

Map a SNOMED CT code to ICD-10 diagnosis codes. Useful for understanding official diagnosis classifications.

get_condition_risk_factorsA

Get risk factors associated with a specific condition. Returns factors like family history, skin type, UV exposure.

assess_risk_from_factorsA

Calculate risk assessment based on a list of risk factors. Returns combined relative risk and recommendations.

classify_lesion_featuresA

Classify a lesion based on its ABCDE features. Returns possible conditions, risk level, and recommendations. Use this to help interpret mole analysis results.

get_malignant_conditionsA

Get a list of all malignant skin conditions in the ontology. Use for educational purposes about skin cancers.

get_app_statusA

Get status of all MoleCare applications including web app, mobile API, backend, and ML serving. Use this to check overall system health.

get_kubernetes_statusB

Get Kubernetes cluster status including nodes, namespaces, deployments, and pod health.

get_deploymentsA

Get status of Kubernetes deployments across namespaces. Shows replica counts, images, and health status.

get_service_healthA

Get health status of all backend services including databases, cache, storage, auth, and external dependencies.

get_database_statusA

Get status of all databases including PostgreSQL and Redis instances with connection pools and latency.

get_pipeline_runsA

Get recent CI/CD pipeline runs from GitHub Actions. Shows build status, duration, and triggered by.

get_pipeline_summaryA

Get summary statistics for CI/CD pipelines including success rate, average duration, and failure count.

get_training_runsB

Get Metaflow ML training pipeline runs. Shows training status, parameters, and duration.

get_deployment_statusB

Get current deployment status for staging and production environments.

get_releasesB

Get recent releases with version info, release notes, and assets.

get_mlflow_experimentsA

List all MLflow experiments with their status and last update time.

get_mlflow_runsB

Get MLflow runs for an experiment with metrics, parameters, and status.

get_registered_modelsA

List all registered ML models in MLflow model registry with versions and stages.

get_model_versionA

Get details of a specific model version including stage, metrics, and run info.

compare_model_runsA

Compare metrics between multiple MLflow runs to evaluate model performance.

get_feature_viewsA

List all Feast feature views with their entities, features, and data sources.

get_feature_view_detailsA

Get detailed information about a specific feature view.

get_feature_freshnessA

Get freshness status of all feature views showing last materialization time and staleness.

get_online_featuresB

Retrieve online features for an entity from Feast feature store.

get_feature_store_statsA

Get overall statistics about the Feast feature store including counts and store types.

get_system_healthA

Get comprehensive health status of all MCP backend services. Use this to check if services are available before making other calls.

clear_cacheA

Clear the MCP server's internal cache. Use when you need fresh data after known changes.

get_ec2_instancesA

Get all MoleCare EC2 instances with their current state, IP addresses, and instance types. Use this to see all running servers.

get_ec2_instanceA

Get detailed information about a specific EC2 instance by its instance ID.

get_ec2_healthA

Get AWS health check status for EC2 instances including instance and system status checks.

get_ec2_metricsA

Get CloudWatch metrics (CPU, network) for an EC2 instance over a specified time period.

check_server_healthA

Check if the molecare-server application is responding on an EC2 instance by hitting its health endpoint.

get_web_app_statusA

Get the current status of the MoleCare web application including health, version, response time, and uptime.

get_mobile_api_statusA

Get the current status of the MoleCare mobile API backend including health, version, and response time.

get_all_apps_statusA

Get status of all MoleCare applications (web, mobile API, iOS app, Android app) in one call.

get_app_metricsB

Get application metrics including request counts, error rates, response times, and active users.

get_app_errorsA

Get recent application errors including error messages, endpoints, status codes, and occurrence counts.

get_app_versionsA

Get deployed versions of all MoleCare applications across environments (production, staging).

get_app_store_statusA

Get iOS App Store and Android Play Store status including ratings, reviews, and current live versions.

get_database_metricsB

Get database performance metrics including query stats, storage usage, cache hit ratios, and deadlocks.

get_slow_queriesA

Get slow database queries that may need optimization, sorted by total execution time.

get_table_statsA

Get statistics for database tables including row counts, sizes, and vacuum/analyze status.

get_backup_historyA

Get database backup history including automated and manual backups with their status and sizes.

get_connection_poolsA

Get connection pool status for all database clients showing active, idle, and waiting connections.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
ABCDE Criteria for MelanomaThe ABCDE rule for identifying potentially cancerous moles
Fitzpatrick Skin TypesClassification of skin types and associated risks
Skin Cancer PreventionTips for preventing skin cancer and protecting skin
When to See a DermatologistGuidelines for when to seek professional medical advice
SNOMED CT Codes ReferenceReference guide for dermatology SNOMED CT codes used in the app
ICD-10 Codes ReferenceReference guide for skin condition ICD-10 diagnosis codes
Risk Factors GuideComplete guide to skin cancer risk factors and their relative risks
System ArchitectureOverview of MoleCare system architecture including services and infrastructure
Operations RunbooksCommon operational procedures and troubleshooting guides
ML Model CatalogCatalog of ML models with versions, metrics, and deployment info
Feature CatalogCatalog of features available in the feature store

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