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andyliszewski

grounding-ai

by andyliszewski
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Python
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    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

    A3.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have entirely distinct purposes: listing agents vs. searching the corpus. There is no overlap or ambiguity.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern: list_corpus_agents and search_corpus, making the naming predictable.

    Tool Count3/5

    With only two tools, the server feels under-scoped for a typical grounding AI service. While it covers basic search and agent listing, more tools would be expected for a complete experience.

    Completeness2/5

    The server lacks essential tools for managing the corpus, such as adding or removing documents or agents. This creates significant gaps for agents needing to update or maintain the knowledge base.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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