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YummyTastyCode

AWS Notebook Runner MCP

by YummyTastyCode
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AWS_REGIONYesAWS region, e.g., eu-north-1.
AWS_PROFILEYesAWS CLI profile to use.
AWS_NOTEBOOK_BACKENDYesExecution backend, e.g., ec2_ssm.
AWS_NOTEBOOK_S3_ROOTYesS3 bucket/prefix for notebook artifacts, e.g., s3://YOUR_BUCKET/runs.
AWS_NOTEBOOK_ROLE_ARNYesARN of the EC2 instance role.
AWS_NOTEBOOK_RUNNER_ROOTYesAbsolute path to local notebook directory.
AWS_NOTEBOOK_MAX_RUNTIME_SECONDSYesMaximum runtime in seconds.
AWS_NOTEBOOK_PRICE_OVERRIDES_JSONNoJSON string with price overrides per instance type, e.g., '{"t3.micro": 0.0104}'.
AWS_NOTEBOOK_DEFAULT_INSTANCE_TYPEYesDefault instance type, e.g., t3.micro.
AWS_NOTEBOOK_ALLOWED_INSTANCE_TYPESYesComma-separated list of allowed instance types, e.g., t3.micro,t3.small.
AWS_NOTEBOOK_MAX_ESTIMATED_COST_USDYesMaximum estimated cost in USD.
AWS_NOTEBOOK_RUNNER_ENABLE_EXECUTIONNoSet to 'true' to enable paid compute execution.

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
get_runner_statusA

Return local policy and dependency status without contacting AWS.

inspect_notebookC

Inspect a local notebook under AWS_NOTEBOOK_RUNNER_ROOT.

plan_notebook_jobC

Build a dry-run SageMaker notebook job plan; does not start AWS compute.

estimate_notebook_job_costC

Estimate SageMaker notebook job compute cost from static or configured prices.

check_ec2_setupA

Read-only EC2/SSM setup checks; does not launch instances.

plan_ec2_smoke_runA

Build a dry-run EC2+SSM notebook smoke-run plan; does not launch EC2.

start_ec2_smoke_runC

Start a guarded paid EC2+SSM smoke run and terminate the instance after completion.

start_ec2_smoke_run_asyncC

Start a guarded paid EC2+SSM smoke run and return immediately with run ids.

get_ec2_smoke_run_statusC

Return EC2/SSM/S3 progress, CloudWatch metrics, and current cost estimate.

get_sagemaker_notebook_job_specC

Return the SageMaker NotebookJobStep spec for a dry-run plan.

start_sagemaker_notebook_jobC

Start paid SageMaker notebook execution only when policy and token allow it.

get_sagemaker_job_statusC

Read SageMaker pipeline execution status for a started notebook job.

explain_existing_aws_optionsA

Explain related AWS/AWS Labs tools and how this prototype differs.

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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