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GetABrainšŸ§  | Live Human-in-the-Loop MCP for AI Agents

by Guitarmaniac24
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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

    A4.6/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: topup link generation, balance checking, response retrieval (one-shot vs. waiting), query listing, response rating, and query submission. The descriptions explicitly differentiate overlapping tools like get_responses and wait_for_responses.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_topup_link, get_balance, list_queries). The verbs are descriptive and the naming convention is uniform.

    Tool Count5/5

    With 7 tools, the server covers the essential operations for a human-in-the-loop system: balance management, query lifecycle (submit, wait, check), listing, and rating. The count feels well-scoped without unnecessary bloat or gaps.

    Completeness4/5

    The tool set covers the core workflow (submit, wait, get, rate, fund). However, there are minor gaps: no tool to cancel or delete a query, and no ability to manage balance history or refunds. These are not critical but slightly reduce completeness.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive

    Resources