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Servonaut

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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

    B3.4/5.0

    Scored across 69 tools

    Disambiguation3/5

    The set spans many subdomains, and most tools are distinct, but several pairs overlap: ip_ban_set vs block_ip (both IP blocking), build_server_memory vs refresh_server_memory (functionally equivalent), cloudwatch_top_ips vs cloudwatch_insights vs cloudwatch_get_log_events group_by, and docker_logs vs docker_log_summary. Descriptions usually clarify intended use, but the agent still faces real selection ambiguity in these areas.

    Naming Consistency4/5

    All names use snake_case, with service prefixes for AWS/S3/CloudWatch/DB/Docker and mostly verb_noun patterns. However, core tools mix verb_noun (list_instances, get_server_info) with noun_phrase (journal_errors, disk_usage, web_traffic_summary), and ip_ban_set vs block_ip use different conventions for the same task. Still predictable overall.

    Tool Count1/5

    69 tools is far beyond the 3-15 sweet spot and exceeds the 50+ threshold for extreme mismatch. Even for a broad infrastructure-management server, this volume risks overwhelming agents and making tool selection harder.

    Completeness4/5

    The surface covers instance management, AWS lifecycle, S3 CRUD, CloudWatch/CloudTrail, Docker read-only observability, WAF/IP blocking, DB setup/query, and security audits—very broad. Minor gaps remain: no non-AWS instance create/delete, no update/delete for findings or memory, and no direct Docker lifecycle or generic SQL write tools, though run_command/aws_call can work around some.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources