SageMaker AI MCP Server

Item: SageMaker AI MCP Server
Rating: 71
Author: M8ven

Enables AI assistants to manage Amazon SageMaker AI resources including endpoints, jobs, pipelines, MLflow tracking servers, domains, models, model cards, and apps.

→ dgallitelli/sagemaker-ai-mcp-server · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configAWS_REGION— AWS region to use (default: us-east-1)

configSAGEMAKER_EXECUTION_ROLE_ARN— ARN of the SageMaker execution role

configAWS_PROFILE— AWS CLI profile to use for credentials

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/dgallitelli-sagemaker-ai-mcp-server-bb171e)](https://m8ven.ai/mcp/dgallitelli-sagemaker-ai-mcp-server-bb171e)

commit: f315f2dcbd6daa787247cf2961010b852496cb4d

code hash: eba9575015939e114c7529d3a9bdb7b718e74c8cc2ad2c8e3e01b1246ab3caf6

verified: 6/18/2026, 10:57:44 AM

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