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OfficialAI / ML

Amazon SageMaker AI MCP

by AWS Labs

Official AWS Labs MCP for SageMaker HyperPod cluster management: deployment, node management, lifecycle operations on EKS-orchestrated or Slurm-orchestrated clusters. Read-only by default; --allow-write and --allow-sensitive-data-access flags gate destructive operations.

★ 8,924·6 listed tools·Released AUG 2025·Apache-2.0
uvx awslabs.sagemaker-ai-mcp-server@latest
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“Official AWS Labs MCP for SageMaker HyperPod cluster management: deployment, node management, lifecycle operations on EKS-orchestrated or Slurm-orchestrated clusters. Read-only by default; --allow-write and --allow-sensitive-data-access flags gate destructive operations. 2 commits on the server path in the last 30 days, the lowest cadence in this batch; Tier 2 placement reflects the cadence.”

Reviewed by M. Nouriel · MAY 2026

INSTALL THIS SERVER

Requires authenticationAWS credentials chain (AWS_PROFILE, environment, or instance role). IAM permissions required: SageMaker HyperPod read for default mode; cluster mutation permissions for --allow-write mode.
{ "mcpServers": { "awslabs.sagemaker-ai-mcp-server": { "command": "uvx", "args": [ "awslabs.sagemaker-ai-mcp-server@latest" ], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }
PrereqRequires uv installed and an AWS profile with SageMaker HyperPod IAM permissions. PyPI package: `awslabs.sagemaker-ai-mcp-server`. Default mode is read-only; pass --allow-write to enable cluster mutations. Path: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS).
{ "mcpServers": { "awslabs.sagemaker-ai-mcp-server": { "command": "uvx", "args": [ "awslabs.sagemaker-ai-mcp-server@latest" ], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }
{ "mcpServers": { "awslabs.sagemaker-ai-mcp-server": { "command": "uvx", "args": [ "awslabs.sagemaker-ai-mcp-server@latest" ], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }
{ "mcpServers": { "awslabs.sagemaker-ai-mcp-server": { "command": "uvx", "args": [ "awslabs.sagemaker-ai-mcp-server@latest" ], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }
{ "mcpServers": { "awslabs.sagemaker-ai-mcp-server": { "command": "uvx", "args": [ "awslabs.sagemaker-ai-mcp-server@latest" ], "env": { "AWS_PROFILE": "default", "AWS_REGION": "us-east-1" } } } }

6 SELECTED TOOLS

list_hyperpod_clusters
List available HyperPod clusters in the account
Read
get_hyperpod_cluster
Retrieve cluster configuration and status
Read
create_hyperpod_cluster
Provision a new cluster (gated by --allow-write)
Write
update_hyperpod_cluster
Modify cluster configuration (gated by --allow-write)
Write
delete_hyperpod_cluster
Tear down a cluster (gated by --allow-write)
Admin
manage_hyperpod_nodes
Node-level lifecycle operations on a HyperPod cluster
Write

OUR ASSESSMENT

The SageMaker AI MCP focuses on HyperPod, the dedicated training cluster surface inside SageMaker. Operators provision clusters, manage nodes, and run lifecycle operations (start, stop, scale) on clusters orchestrated by Amazon EKS or Slurm. Default operating mode is read-only; the --allow-write flag opens cluster mutations and the --allow-sensitive-data-access flag opens privileged read paths. Stack Protection ensures CloudFormation stacks created by the tool can only be modified by the same tool.

Strengths
  • Apache-2.0 licence.
  • Official AWS Labs maintenance with 8,924 parent-repo stars.
  • Read-only default with explicit --allow-write opt-in.
  • Stack Protection guards against cross-tool CloudFormation stack mutation.
  • Configurable AWS profile and region via standard environment variables.
Weaknesses
  • 2 commits on the server path in the last 30 days, lowest cadence in this batch.
  • HyperPod is the only SageMaker surface covered; full SageMaker control-plane operations live elsewhere.
  • File system access is broad (the README documents this as a security consideration): the server can read and write any path the host user can.
  • Designed for local stdio use; HTTP transport carries additional risk per the README.
Security Notes

The server defaults to read-only mode. Open --allow-write only for sessions where cluster mutation is intended. Open --allow-sensitive-data-access only when access to sensitive HyperPod data is required. Run under a dedicated AWS profile with HyperPod-scoped IAM permissions. The host file system is accessible to the server; scope the agent filesystem accordingly. The README warns against network exposure of this server.

Best For

ML platform teams running SageMaker HyperPod for distributed training jobs; AWS shops where training infrastructure runs inside SageMaker for compliance and IAM unification with the rest of the AWS workload; operators who want a guarded MCP entry point for HyperPod cluster operations (read-only by default; explicit flags for write paths).

TECHNICAL DETAILS

Language
python
Transport
stdio
Clients
Claude DesktopClaude CodeCursorVS CodeWindsurf
License
Apache-2.0
GitHub
awslabs/mcp · ★ 8,924
npm
awslabs.sagemaker-ai-mcp-server
Last Release
awslabs.sagemaker-ai-mcp-server (PyPI)MAY 1, 2026
First Released
AUG 1, 2025

RECORDED ADOPTION METRICS

Saved directory snapshots. Record last checked MAY 1, 2026. The review date above does not refresh these figures.

// GitHub Stars
8,924

// Recorded note8,924 stars on the awslabs/mcp parent monorepo. 2 commits on the SageMaker AI server path in the last 30 days.

// Popularity Rank
#5
Recorded directory rank · #5 in AI / ML

// Recorded noteFifth-ranked in ai-ml. Tier 2 cadence; Tier 1 vendor signal.

SOURCES & RECORDED CHECKS

These are the directory listings and check details held in this record. Client compatibility, directory listings and installation testing are separate signals. Recorded client names describe the scope of a check; they do not establish a security assessment or a recurring test schedule.

01
Discovered
Source not recorded
First indexed MAY 1, 2026
02
Directory listings
4 directories
PulseMCP, MCP.so, Glama, Official MCP Registry
03
Recorded client testing
Claude Desktop, Cursor (per awslabs/mcp install instructions)
Check current setup against the provider documentation
04
Record last checked
MAY 1, 2026
Record date; functional retest scope may differ
// How other directories see it

The same server, 4 different lenses. We reconcile these signals into our editorial score, which is why our number sometimes diverges from a directory-aggregate star count.

SourceTheir ratingTheir star countTheir downloadsLast synced
AutomationSwitch This page3.9editorial8,924—MAY 1, 2026
PulseMCP— unratedunavailableunavailableMAY 1, 2026
MCP.so— unratedunavailableunavailableMAY 1, 2026
Glama— unratedunavailableunavailableMAY 1, 2026
Official MCP Registry— unratedunavailableunavailableMAY 1, 2026

// Counts are directory-reported; we don't adjust them. Discrepancies usually come from different snapshot times or star-caching.

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