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yumi233

third-party-gemini-mcp

by yumi233

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      Enables MCP-compatible clients to send prompts or conversations to Chinese LLM models, list available models with pricing, and compare responses from multiple models through an OpenAI-compatible API.
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      Enables MCP-compatible applications to interact with local and cloud-hosted LLM models for model management, text generation, chat, embeddings, and web search/fetch.
      689 npm
      AGPL 3.0

    TDQS

    A3.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: text/code/document processing, image analysis, and image generation. No overlap in functionality, so an agent can easily select the right tool.

    Naming Consistency3/5

    Two tools use the 'gemini_' prefix (gemini_flash, gemini_vision) while the third uses an action-oriented name (image_generate). This mixed convention is somewhat inconsistent, though each name is still descriptive and understandable.

    Tool Count4/5

    With only 3 tools, the set is slightly thin but still reasonably scoped for a focused Gemini API wrapper. The tools cover the core text, vision, and generation capabilities without unnecessary bloat.

    Completeness4/5

    The tool surface covers the primary Gemini modalities (text, vision, image generation), but could be missing other capabilities like embeddings, audio, or fine-tuning. For a general-purpose MCP server, the current set is functional but not exhaustive.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues