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Gemini MCP Server

by xumingjun5208
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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

    A3.6/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes with no overlap: gemini_chat handles chat interactions with the Gemini API, while gemini_list_models provides metadata about available models. An agent would never confuse these tools as they serve fundamentally different functions in the workflow.

    Naming Consistency5/5

    Both tools follow a consistent 'gemini_' prefix + descriptive_snake_case pattern (gemini_chat and gemini_list_models). This creates a predictable naming convention that clearly associates both tools with the Gemini service while maintaining readability and consistency throughout the toolset.

    Tool Count2/5

    With only 2 tools, this server feels severely under-equipped for a comprehensive Gemini API integration. While chat functionality is essential, the absence of tools for embeddings, file analysis, or other Gemini capabilities creates a thin surface that will limit agent effectiveness. The count is too low for the apparent scope of a full Gemini MCP server.

    Completeness2/5

    The tool surface is significantly incomplete for a Gemini integration server. While chat functionality is well-implemented, there are major gaps: no tools for embeddings generation, file content analysis beyond chat context, model information beyond listing, or other Gemini API endpoints. This creates dead ends for agents trying to perform common Gemini workflows beyond basic chat interactions.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources