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Novel Memory MCP

Novel Memory MCP

by syydmtl
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A3.9/5.0

    Scored across 4 tools

    Disambiguation4/5

    The discovery pair (list_memory_tags → search_memory) and the retrieval pair (get_memory / get_memories) are each clearly explained, and the descriptions explicitly state the intended call order. The main risk is get_memory vs get_memories, which differ only by an 's' and could be misselected, though the 'max two stages' note mitigates this.

    Naming Consistency4/5

    All names are snake_case with a verb_noun structure (search_memory, list_memory_tags, get_memory, get_memories), which is predictable and readable. The only blemish is that get_memory/get_memories rely on pluralization alone to distinguish a batch variant, a minor deviation from clean naming.

    Tool Count4/5

    Four tools is a tight, well-scoped set for a read-only curated-memory server, and each tool has a distinct role in the discover-then-fetch flow. It is on the thin side, but nothing is redundant and no tool feels gratuitous.

    Completeness4/5

    The retrieval lifecycle is covered end to end: list tags, search by keyword, fetch one stage, fetch a small batch. Gaps are minor and arguably intentional (no write/update/delete since memories are manually maintained, and no way to enumerate all stages without tags), which agents can work around via list_memory_tags.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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