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YummyTastyCode

AWS Notebook Runner MCP

by YummyTastyCode
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct action (plan, start, check status, inspect, estimate) for separate AWS execution paths (EC2+SSM vs SageMaker), with clear descriptions that prevent confusion even between start_ec2_smoke_run and start_ec2_smoke_run_async.

    Naming Consistency5/5

    All tool names follow a verb_noun pattern in snake_case consistently, using action verbs like check, estimate, explain, get, inspect, plan, start. No mixed conventions.

    Tool Count5/5

    13 tools cover the full workflow for two execution modes without bloat. Each tool serves a clear purpose in the lifecycle (plan, start, status, cost, setup, inspection).

    Completeness4/5

    The tool set covers setup checks, planning, starting (sync and async for EC2), status retrieval, cost estimation, and notebook inspection. Missing a cancel/abort tool for running jobs, but the guarded design mitigates this gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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