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ChavezAILabs

KSJ MCP Server

by ChavezAILabs
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    Deploy Server
    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

    A3.9/5.0

    Scored across 37 tools

    Disambiguation4/5

    Most tools have distinct purposes, but a few clusters risk confusion: upload_capture/manual_capture/bulk_upload all ingest captures, and find_connections/neighborhood/find_path all explore graph relationships. Descriptions clarify inputs and preconditions, so selection is usually unambiguous, but the overlaps prevent a perfect score.

    Naming Consistency4/5

    Tools consistently use snake_case, and most follow a verb_noun pattern (get_stats, search_captures, commit_aiex). Minor deviations include noun phrases (knowledge_progress, journal_health) and adjective_noun forms (manual_capture, bulk_upload), but the scheme remains readable and predictable overall.

    Tool Count2/5

    At 37 tools, the server is well above the 25-tool threshold where the set becomes unwieldy for agent selection. Many specialized analysis, AI-dialogue prep, and export tools could be consolidated or made optional, so the count is heavy for the apparent journal-knowledge-base scope.

    Completeness5/5

    The surface covers capture ingestion, OCR/text correction, type promotion, volume configuration, entity/connection assertion, graph rebuild, search/browse, pathfinding, health metrics, AI extraction/audit/observation, and multiple export/backup paths. No obvious lifecycle dead ends exist for the core journal domain, and non-deletion is explicitly by design.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources