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Pryno-ai

Pryno MCP

Official
by Pryno-ai
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    Deploy Server
    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

    A3.8/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct target: directory browsing (list_categories), querying (search_mcp_servers), single lookup (get_mcp_server), aggregate metrics (directory_stats), and an external scoring function (run_readiness_check). The only mild overlap is between list_categories and directory_stats, both of which surface counts, and between the 'readiness score' returned by lookup tools versus the standalone check tool. Descriptions make the boundary clear enough that misselection is unlikely.

    Naming Consistency4/5

    Four of five names follow a verb_noun or verb_object pattern (list_categories, search_mcp_servers, get_mcp_server, run_readiness_check) with consistent snake_case. directory_stats breaks the pattern by being noun-only with no verb, a minor deviation. Overall readable and predictable.

    Tool Count5/5

    Five tools is a tight, well-scoped surface for a read-only directory server: browse, search, lookup, aggregate stats, and one scoring utility. No tool appears redundant or padded, and nothing feels conspicuously absent at the count level.

    Completeness4/5

    The read-only lifecycle of a directory is well covered: discovery via search, detail via get, taxonomy via list_categories, and health via directory_stats. Minor gaps exist — there's no explicit way to enumerate servers within a category (you must fall back to search) and no compare/batch lookup, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources