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

by Guitarmaniac24
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TypeScript
Remote

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    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