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Alternatives to gemini-mcp-server

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables interaction with Google Gemini AI models through MCP protocol. Provides text generation capabilities with configurable model selection and temperature settings.
      62 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Minimal MCP server that provides access to Google's Gemini API with Google Search grounding for up-to-date information through a single ask_gemini tool.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Exposes a single chat tool that lets any MCP client send text prompts together with images, PDFs, or Office attachments to a self-hosted Gemini web endpoint and get OpenAI-compatible responses back. An optional companion checker keeps the underlying Google session cookies fresh automatically so requests keep working without manual re-authentication.
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      MCP server that completes prompts with automatic provider fallback across OpenAI, Anthropic Claude, and Google Gemini. It is rate-limit aware, retries on transient failures, and provides a transparent attempt log.
      2
      10 npm
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables users to ask questions answered through the Google Gemini REST API's generateContent endpoint, exposed as a single tool that accepts a prompt plus optional model, temperature, and token-limit settings. It runs locally over stdio and can be wired into LM Studio, returning network, auth, timeout, and invalid-response failures as readable tool errors.
      -

    TDQS

    A3.9/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only a single tool (gemini_ask), there is no possibility of confusing it with another tool. Its purpose—send a prompt to Gemini and return the answer—is unambiguous.

    Naming Consistency5/5

    The lone name gemini_ask follows a clean snake_case verb_noun pattern and is fully self-consistent. There are no competing conventions to create inconsistency.

    Tool Count3/5

    A one-tool surface is thin for a server, even though asking Gemini is genuinely the core capability. The rubric treats a single tool as borderline, and there is no supporting surface (e.g. conversation or model listing).

    Completeness3/5

    The basic one-shot question/answer flow is covered, including model and system-instruction options. However, there is no multi-turn conversation, model discovery, or other lifecycle operations, leaving notable gaps for a general Gemini integration.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues