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matthiaskloft

evidence-ledger-mcp

by matthiaskloft
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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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

    A3.6/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools target distinct lifecycle stages: record operations, ledger creation/validation, export/summary/embedding, and PDF linking. The main potential confusion is between check_ledger and validate_ledger, and between resolve_links and relink_html, but their descriptions clarify different inputs and outputs. An agent can generally select correctly, though a few boundaries require careful reading.

    Naming Consistency4/5

    Nearly all tools use a consistent snake_case verb_noun pattern: add_record, find_records, get_record, validate_record, export_ledger, and so on. The only clear deviation is schema_info, which is noun-based rather than verb_noun, but the naming remains predictable overall.

    Tool Count5/5

    Fourteen tools is well within the expected 3-15 range and fits a complex evidence-ledger workflow that includes record management, validation, export, embedding, and PDF linking. Each tool appears to earn its place without obvious duplicates.

    Completeness4/5

    The surface covers ledger creation, record addition, lookup, withdrawal, validation, export, summarizing, embedding, and source linking. The main gap is a direct record update/edit operation, though the append-plus-withdraw model may make this intentional. Overall the lifecycle is substantially covered with minor workarounds.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources