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orieg/yaml-workflow

by orieg
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Python
Hybrid

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    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

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing workflows, validating a file, previewing execution without side effects, and actually running a workflow. There is no ambiguity between them.

    Naming Consistency5/5

    All tool names are in snake_case and follow a verb_noun pattern (list_workflows, validate_workflow, dry_run_workflow, run_workflow). The use of 'dry_run' as a compound verb is consistent with the pattern.

    Tool Count4/5

    Four tools is on the lower end but perfectly scoped for this server's purpose—covering discovery, validation, preview, and execution. Each tool earns its place without any redundancy.

    Completeness5/5

    The tool surface covers the full lifecycle of using a YAML workflow: list available workflows, validate a file, preview effects, and execute. There are no obvious gaps for the stated domain of running existing workflows.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources