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Gemini MCP Server

by dakrin
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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

    B3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: generateWithGemini is for content generation, while getModelInfo is for retrieving model metadata. There is no overlap in functionality, making it impossible to confuse them.

    Naming Consistency4/5

    Both tools use camelCase naming, which is consistent. However, generateWithGemini uses a verb+preposition+noun pattern, while getModelInfo uses verb+noun, creating a minor deviation in structure.

    Tool Count3/5

    With only 2 tools, the server feels thin for a Gemini API server, as it lacks operations like listing models, managing conversations, or handling multimodal inputs. The count is borderline for the apparent scope of interacting with a generative AI model.

    Completeness2/5

    The tool surface is severely incomplete for a Gemini API server. It only covers content generation and model info, missing essential operations such as chat/completion management, file uploads for multimodal inputs, or configuration settings, which will likely cause agent failures in complex workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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