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Memory Tracker MCP

by akshaygp18
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Python
Remote

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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

    C2.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools, save_memory and search_memory, have clearly distinct purposes: one writes a memory and the other reads/retrieves them. No overlap or ambiguity exists.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun pattern (save_memory, search_memory), using the same resource noun. The naming is predictable and uniform.

    Tool Count3/5

    With only two tools, the set is at the low end of what is reasonable. For a memory tracker, save and search are core operations, so the count is borderline but acceptable.

    Completeness3/5

    The server covers the primary create and read/search operations, but it lacks update, delete, or list-all functionality. These are significant gaps for a complete memory management lifecycle.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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