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knowledgelib-mcp

by peterbeck111
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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

    A4.3/5.0

    Scored across 6 tools

    Disambiguation4/5

    Tools are mostly distinct with clear purposes. The only potential overlap is between batch_query and query_knowledge (both perform searches), but descriptions clarify that batch_query is for efficiency when searching multiple topics, while query_knowledge is the standard single search entry point. Other tools like report_issue (quality flags) and suggest_question (new content requests) have clearly separated concerns.

    Naming Consistency5/5

    All six tools follow a consistent verb_noun pattern using snake_case: batch_query, get_unit, list_domains, query_knowledge, report_issue, suggest_question. Action verbs (batch, get, list, query, report, suggest) are used predictably with clear target nouns.

    Tool Count5/5

    Six tools is an appropriate, well-scoped count for a knowledge retrieval server. The set covers discovery (list_domains), retrieval (query_knowledge, batch_query, get_unit), and feedback loops (report_issue, suggest_question) without bloat or redundancy.

    Completeness4/5

    The surface covers the essential knowledge retrieval lifecycle: domain discovery, flexible search (single and batch), specific unit retrieval, and feedback mechanisms for both corrections and new content requests. Minor gaps include no domain-specific browsing tool and the odd 'STEP 1/STEP 3' labeling suggesting a missing intermediate step, but core workflows are supported.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources