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Mnemento

Mnemento

by reddol18
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: recording facts vs. series, querying vs. reading query logs, preview/apply/revert for ingest, and proposal vs. application for schemas. Overlaps are explicitly resolved in descriptions, so an agent can reliably select the intended tool.

    Naming Consistency4/5

    Almost all names use predictable snake_case with verb_noun or verb_noun_noun patterns (record_series, ingest_apply, apply_schema_proposal). A few single-word tools like query, record, and history deviate slightly but remain clear and consistent in style.

    Tool Count5/5

    14 tools are well within the sweet spot for a domain that spans recording, querying, ingestion, history, and schema management. Each tool earns its place with a specific operation, and there is no redundant surface area.

    Completeness4/5

    The surface covers record lifecycle through explicit kinds (created, updated, corrected, retracted), series batches with revert, ingest lifecycle, querying, history, and schema proposals. Minor gaps exist, such as no dedicated list-entities operation, but query and get_entity provide workarounds.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data

    Resources