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gemini-search-mcp

by mkih76
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Python
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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 2 tools

    Disambiguation2/5

    The tools 'ask' and 'web_search' have nearly identical descriptions, both using Google AI Mode and returning AI-generated answers. The only distinction is that 'ask' may optionally skip web search, but this is unclear and overlapping, making it hard for an agent to choose reliably.

    Naming Consistency2/5

    Tool names 'ask' (verb) and 'web_search' (noun with underscore) do not follow a consistent pattern. Mixing a simple verb with a compound noun creates inconsistency, and no clear naming convention is evident across the set.

    Tool Count3/5

    With only 2 tools, the server feels thin for a search service, but it is scoped to Google AI Mode. The count is borderline; it lacks additional tools for raw results or specialized searches, but the core functionality is covered.

    Completeness4/5

    For the narrow purpose of AI-powered search with synthesis, the server covers asking general questions and web searches. Minor gaps exist (e.g., no way to get unsynthesized results), but overall the surface is reasonably complete for its stated domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources