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Glama
dgallitelli

SageMaker AI MCP Server

by dgallitelli
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AWS_REGIONNoAWS region to use (default: us-east-1)us-east-1
AWS_PROFILENoAWS CLI profile to use for credentials
SAGEMAKER_EXECUTION_ROLE_ARNYesARN of the SageMaker execution role

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
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_endpoints_sagemakerA

List all SageMaker Endpoints

list_endpoint_configs_sagemakerA

List all SageMaker Endpoint Configurations

describe_endpoint_sagemakerB

Describe a SageMaker Endpoint

describe_endpoint_config_sagemakerC

Describe a SageMaker Endpoint Configuration

delete_endpoint_sagemakerA

Delete a SageMaker Endpoint

delete_endpoint_config_sagemakerB

Delete a SageMaker Endpoint Configuration

list_training_jobs_sagemakerB

List SageMaker Training Jobs

list_processing_jobs_sagemakerB

List SageMaker Processing Jobs

list_transform_jobs_sagemakerB

List SageMaker Transform Jobs

list_inference_recommendations_jobs_sagemakerA

List all SageMaker Inference Recommender Jobs

list_inference_recommendations_job_steps_sagemakerA

List steps for a SageMaker Inference Recommender Job

describe_training_job_sagemakerA

Describe a SageMaker Training Job

describe_processing_job_sagemakerA

Describe a SageMaker Processing Job

describe_transform_job_sagemakerA

Describe a SageMaker Transform Job

describe_inference_recommendations_job_sagemakerC

Describe a SageMaker Inference Recommender Job

stop_training_job_sagemakerB

Stop a SageMaker Training Job

stop_processing_job_sagemakerB

Stop a SageMaker Processing Job

stop_transform_job_sagemakerB

Stop a SageMaker Transform Job

stop_inference_recommendations_job_sagemakerB

Stop a SageMaker Inference Recommender Job

list_pipelines_sagemakerA

List SageMaker Pipelines

list_pipeline_executions_sagemakerA

List all Pipeline Executions for a SageMaker Pipeline

list_pipeline_execution_steps_sagemakerA

List all Pipeline Execution Steps for a SageMaker Pipeline Execution

list_pipeline_parameters_for_execution_sagemakerB

List Pipeline Parameters for a SageMaker Pipeline Execution

describe_pipeline_sagemakerC

Describe a SageMaker Pipeline

describe_pipeline_definition_for_execution_sagemakerC

Describe Pipeline Definition for a SageMaker Pipeline Execution

describe_pipeline_execution_sagemakerD

Describe a SageMaker Pipeline Execution

start_pipeline_execution_sagemakerC

Start a SageMaker Pipeline Execution

stop_pipeline_execution_sagemakerB

Stop a SageMaker Pipeline Execution

delete_pipeline_sagemakerB

Delete a SageMaker Pipeline

list_user_profiles_sagemakerA

List all SageMaker User Profiles

list_spaces_sagemakerA

List all SageMaker Spaces

list_mlflow_tracking_servers_sagemakerA

List all Managed MLflow Tracking Servers in SageMaker

create_mlflow_tracking_server_sagemakerC

Create a Managed MLflow Tracking Server in SageMaker

create_presigned_url_for_mlflow_tracking_server_sagemakerB

Create a presigned URL for a Managed MLflow Tracking Server in SageMaker

describe_mlflow_tracking_server_sagemakerB

Describe a Managed MLflow Tracking Server in SageMaker

start_mlflow_tracking_server_sagemakerB

Start a Managed MLflow Tracking Server in SageMaker

stop_mlflow_tracking_server_sagemakerB

Stop a Managed MLflow Tracking Server in SageMaker

delete_mlflow_tracking_server_sagemakerB

Delete a Managed MLflow Tracking Server in SageMaker

list_domains_sagemakerA

List all SageMaker Domains

create_presigned_url_for_domain_sagemakerB

Create a presigned URL for a SageMaker Domain

describe_domain_sagemakerC

Describe a SageMaker Domain

delete_domain_sagemakerB

Delete a SageMaker Domain

list_models_sagemakerA

List all SageMaker Models

describe_model_sagemakerB

Describe a SageMaker Model

delete_model_sagemakerB

Delete a SageMaker Model

list_model_cards_sagemakerA

List all SageMaker Model Cards

list_model_card_export_jobs_sagemakerA

List Model Card Export Jobs for a SageMaker Model Card

list_model_card_versions_sagemakerA

List all versions of a SageMaker Model Card

describe_model_card_sagemakerB

Describe a SageMaker Model Card

delete_model_card_sagemakerB

Delete a SageMaker Model Card

list_apps_sagemakerA

List all SageMaker Apps

create_app_sagemakerC

Create a SageMaker App

create_presigned_notebook_instance_url_sagemakerA

Create a presigned URL for a SageMaker Notebook Instance

describe_app_sagemakerC

Describe a SageMaker App

describe_app_image_config_sagemakerC

Describe a SageMaker App Image Config

delete_app_sagemakerB

Delete a SageMaker App

delete_app_image_config_sagemakerB

Delete a SageMaker App Image Config

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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