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super-loop-mcp

by alexalexalex222
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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

    B3.1/5.0

    Scored across 25 tools

    Disambiguation4/5

    Tools are largely distinct, each serving a specific phase (e.g., benchmarking, hypothesis testing, campaign status). The only minor issue is 'loop_next' being an alias for 'request_next_phase', but this does not cause significant confusion.

    Naming Consistency3/5

    Naming patterns are mixed: some follow verb_noun (e.g., 'initialize_loop_run', 'register_hypotheses'), while others use noun_verb (e.g., 'loop_start', 'benchmark_propose') or compound nouns (e.g., 'promotion_request', 'campaign_status'). This inconsistency can make it harder for an agent to predict tool names.

    Tool Count3/5

    With 25 tools, the server is at the high end for a single MCP. While each tool serves a distinct role in the complex loop-based workflow, the count feels slightly heavy and could be streamlined by combining some related operations.

    Completeness4/5

    The tool set covers the entire campaign lifecycle: initialization, phase-gated loops, evidence recording, benchmarking, hypothesis testing, promotion, status, review, and export. Minor gaps exist (e.g., no tool to update or delete registered loops), but the core workflow is well-supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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