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Hivemind

Hivemind

by monochrome-muncher
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Python
Hybrid

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    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

    A3.9/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool maps to a distinct action on entries (write, search, get, list, withdraw, feedback) plus identity/registration and pinning, so most selections are unambiguous. The main risk is the near-homograph pair hive_pin (pin/unpin an entry) vs hive_pinned (read the fleet briefing), and to a lesser degree hive_search (query) vs hive_list (filter-only), though the descriptions do draw the line.

    Naming Consistency4/5

    All ten tools use a uniform hive_ prefix with snake_case and mostly verb-based names (hive_write, hive_search, hive_get, hive_list, hive_withdraw, hive_pin, hive_register, hive_feedback). hive_pinned breaks the verb pattern into an adjective/state name and differs from hive_pin by a single character, which is a minor but real consistency blemish.

    Tool Count5/5

    Ten tools is squarely in the well-scoped range for a shared-memory server. Each tool covers a distinct lifecycle step (write/read/search/list/withdraw, feedback, pin/unpin, register, identity), and none look redundant or filler.

    Completeness4/5

    The entry lifecycle is well covered: create (write with supersedes), read (get/list/search), retract (withdraw), curate (pin/pinned), rate (feedback), plus registration and identity. Gaps are modest: there is no direct edit (revision is by supersede, likely intentional) and no agent administration surface such as listing agents, revoking keys, or managing fleets beyond hive_register/hive_whoami.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues

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