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drdee

Memory MCP

by drdee
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Python
Local

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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

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific CRUD operations on memories: list (retrieve all), get (retrieve specific), remember (create), update (modify), and delete (remove). There is no overlap in functionality, making tool selection unambiguous for an agent.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case, using clear action verbs (list, get, remember, update, delete) paired with the noun 'memory'. There are no deviations or mixed conventions, ensuring predictable naming throughout.

    Tool Count5/5

    With 5 tools, this server is well-scoped for memory management, providing complete CRUD coverage without unnecessary bloat. Each tool earns its place by covering essential operations, making the count appropriate for the domain.

    Completeness5/5

    The tool set offers complete CRUD/lifecycle coverage for memory management: create (remember), read (list_memories, get_memory), update (update_memory), and delete (delete_memory). There are no obvious gaps, allowing agents to handle all core workflows without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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