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Scaleway MCP Server

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Python
Hybrid

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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

    A4/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool clearly targets a distinct resource and action (e.g., list vs get vs create for instances, separate tools for private networks and K8s). No two tools appear to do the same thing.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., list_instances, create_private_network, get_k8s_cluster). There are no mixed conventions or vague verbs.

    Tool Count5/5

    With 11 tools, the server is well-scoped, covering multiple resource types (instances, networks, K8s, images) without being overwhelming. Each tool serves a clear purpose.

    Completeness3/5

    Instance management is fairly complete (create, read, delete, start, stop), but private networks lack get/update/delete, and K8s clusters only have list/get with no create or delete. These are notable gaps that could hinder full workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources