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54615616

ctxray

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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

    B3.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a distinct operation: mapping, blast-radius analysis, file compression, diagnostics, rule generation, session tracing, and context bundling. Some conceptual overlap exists between repo_map, forensics, and pack around repository analysis, but the descriptions make the boundaries usable.

    Naming Consistency3/5

    All names share the ctxray_ prefix and snake_case, but the verb/noun pattern is inconsistent (e.g., skeletonize vs repo_map, forensics vs init_rules). Mixing verbs, nouns, and compound nouns reduces predictability.

    Tool Count5/5

    7 tools is well within the 3–15 range for a repository-analysis server. Each tool has a distinct function, so there is no obvious bloat or thinness.

    Completeness4/5

    The surface covers mapping, change-impact analysis, file compression, diagnostics, rule generation, session tracing, and context packing—core workflows for an AI coding context tool. Minor gaps exist, such as no tool for validating or updating generated rules, but nothing that blocks core usage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources