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Myelin

by et-do
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Python
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    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

    A4.1/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a clearly distinct operation on the memory system: stats for aggregation, store/recall/forget for CRUD, pin/unpin for priority memory, decay_sweep for maintenance, status for system info, consolidate for memory processing, ingest for bulk loading, and health for liveness. There is no ambiguity between tools.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., pin_memory, decay_sweep, consolidate) with no mixing of casing or conventions. The names are concise and descriptive, making the action and target immediately clear.

    Tool Count5/5

    With 11 tools, the server covers the full lifecycle of memory management (store, recall, forget, pin, unpin, stats, status, consolidate, decay_sweep, ingest, health) without being bloated. Each tool serves a necessary function, and the count feels well-scoped for a memory database server.

    Completeness5/5

    The tool set provides comprehensive coverage: CRUD operations (create through store/recall/forget), pinning for prioritized recall, bulk ingestion, maintenance through decay_sweep, consolidation for semantic learning, and monitoring via stats/status/health. There are no obvious gaps for a memory system.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources