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gemini_mcp

by shenyunhuan
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Python
Hybrid

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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

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: gemini invokes the AI model, list_models shows available models, list_sessions displays active sessions, and reset_session clears sessions. There is no overlap in functionality between these tools.

    Naming Consistency4/5

    Three tools follow a consistent verb_noun pattern (list_models, list_sessions, reset_session), but gemini uses a noun-only name which deviates from the pattern. The naming is still readable and mostly consistent.

    Tool Count5/5

    With 4 tools, this is well-scoped for a Gemini MCP server. Each tool serves a distinct role in managing AI interactions and sessions, and none feel superfluous or missing for the core functionality.

    Completeness4/5

    The toolset covers core operations for invoking Gemini AI, listing models and sessions, and resetting sessions. A minor gap is the lack of a tool to manage specific session parameters or update configurations, but agents can work around this with the existing tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources