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ai-memory-mcp

by zhanpu89
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Python
Hybrid

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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

    A3.8/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools serve distinct purposes, but search_summaries and search_summaries_fts overlap significantly, potentially confusing an agent about which to use for searching summaries.

    Naming Consistency4/5

    Names mostly follow verb_noun pattern (add_decision, save_summary) but include a few outliers like maintenance (noun) and longer phrases like get_summary_by_id, deviating from strict consistency.

    Tool Count5/5

    With 10 tools covering session initialization, CRUD, search, maintenance, and reporting, the count is well-scoped for an AI memory server without being overwhelming.

    Completeness3/5

    Covers saving, retrieving, updating, and searching summaries, but lacks delete functionality and has no dedicated tools for retrieving or removing decisions, leaving notable gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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