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gemini-mcp-server

by mnthe
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TypeScript
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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

    A4.1/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: query for conversational AI, search/fetch for web retrieval, generate_image for image generation, generate_video/check_video for async video, generate_omni_video for sync video, generate_speech for TTS, generate_music for music, and reference_search for grounded Q&A. No two tools overlap in functionality.

    Naming Consistency5/5

    All tool names follow the verb_noun pattern (e.g., generate_image, check_video, reference_search) using imperative verbs and underscores consistently. No camelCase or mixed conventions.

    Tool Count5/5

    10 tools cover the server's multi-modal AI capabilities (text, web, images, videos, audio) without bloat. Each tool provides a necessary function, and the count is well-balanced for a comprehensive generative AI server.

    Completeness5/5

    The tool set covers the full lifecycle for each modality: generation, status checks where needed (via check_video for async video), and multiple generation backends (e.g., two video models). The query tool serves as a general-purpose agent. No obvious missing operations for the declared scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources