sagemaker-ai-mcp-server
The Amazon SageMaker AI MCP server provides agents with tools to enable high-performance, low-cost AI/ML model development. Currently, this server includes tools for managing SageMaker HyperPod cluste
Score
78/100
9,446 stars
1,457 forks
A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores
The Open Source Drop Lens
SageMaker MCP connects your AI assistant to Amazon SageMaker's ML platform. Manage training jobs, endpoints, and model artifacts from your editor. Setup requires AWS credentials and SageMaker resources already provisioned.
SageMaker pricing is complex: compute by the hour, storage by the GB, endpoints by uptime. The MCP itself is free. AWS Labs maintains it.
Useful for ML engineers who live in SageMaker and want to check job status or deploy models without the console. The catch: SageMaker's API surface is enormous. The MCP exposes a subset, so you will still hit the console for advanced workflows.
Cost Breakdown
fully freeFree Tier
The MCP server itself is completely free and open source.
Self-Hosted
Runs locally or on your own infrastructure.
Paid
No paid tier. The underlying service may have its own pricing.
Free and open source. The underlying service may have its own costs.
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