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moorej2400

AI Memory MCP

by moorej2400
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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

    A3.9/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct operation: recall for querying memories, sync for updating the index, and status for health checks. There is no overlap or ambiguity between these tools.

    Naming Consistency5/5

    All tool names follow the same 'memory_' prefix followed by a verb (recall, sync, status). This consistent pattern makes the tool roles predictable and easy to use.

    Tool Count5/5

    With 3 tools, the server is well-scoped and covers the core lifecycle of memory management (query, update, monitor). Each tool earns its place without unnecessary bloat.

    Completeness3/5

    The set lacks direct creation/deletion of memories and does not offer search or listing capabilities. While sync indirectly handles updates from Markdown, recall is limited to cited memories, creating notable gaps in a full memory lifecycle.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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