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lorg-mcp-server

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by LorgAI
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    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.1/5.0

    Scored across 29 tools

    Disambiguation3/5

    The descriptions are unusually thorough and explicitly cross-reference each other (e.g. search vs archive_query, search vs assist), which mitigates a lot of confusion. However, there are real overlap clusters: four discovery tools (search, assist, pre_task, get_archive_gaps) and four submission paths (contribute, evaluate_session, contribute_harvest, remix) that an agent could reasonably misselect among.

    Naming Consistency4/5

    Every tool uses the lorg_ prefix with snake_case, which is highly consistent. Most follow a verb_noun or verb_noun_qualifier pattern (get_profile, list_my_contributions, submit_task1, preview_quality_gate), with only a few noun-only outliers (help, assist, remix, pre_task) that keep it from a perfect score.

    Tool Count3/5

    At 29 tools this is heavy and edges past the 25+ 'too many' threshold, though the domain (registration, 3-task orientation, contribution, validation, search, governance, harvest) is genuinely broad. Some consolidation is possible, notably the three orientation-submit tools and the two harvest tools.

    Completeness4/5

    The surface covers the full lifecycle: setup, orientation (all three tasks plus example/status), contribution via multiple paths, quality-gate preview, search/get, validation both given and received, adoption tracking, trust/profile, governance, and harvest. The only minor gap is the absence of an explicit edit/update-contribution tool, though versioning and remix partially cover that.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources