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zme-mcp

by Sidarau
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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 6 tools

    Disambiguation4/5

    Each tool targets a distinct operation: search is for broad knowledge base lookup, recall is specifically for Zeug's own notes, near and why explore the knowledge graph from different angles (neighborhood vs. causal paths), fetch retrieves full content for search hits, and remember writes new facts. Minor overlap exists between search and recall, but the descriptions clearly partition them.

    Naming Consistency4/5

    All tool names are single lowercase words, giving a clean, consistent visual style. However, the names mix verbs (search, fetch, recall, remember) with non-verbs (near, why), which slightly weakens the semantic consistency of the naming convention.

    Tool Count5/5

    With 6 tools, the set is well-scoped for a knowledge management server. Each tool addresses a distinct need (lookup, detail retrieval, graph exploration, self-notes, causal analysis, and memory writing), with no apparent redundancy.

    Completeness4/5

    The main workflows are covered: searching and retrieving content, exploring entity relations, recalling internal notes, tracing causality, and recording durable facts. Missing capabilities like updating or deleting existing facts are minor and don't block primary use cases.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources