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bowwowxx

GeminiMcpServer

by bowwowxx
OverviewSchemaSourceRelated ServersScoreDiscussionsAdmin
JavaScript
Hybrid

GeminiMcpServer

GeminiMcpServer 是一個 Model Context Protocol (MCP) 伺服器，可將 LM Studio（或其他支援 MCP 的客戶端）與 Google Gemini API 無縫連接，用於影像生成與多模態任務處理。

mole

✨ 功能特色

  • 🔗 完整 MCP 支援 – 與 LM Studio 等 MCP 客戶端即時整合。

  • 🎨 影像生成 – 使用 Google Gemini 2 模型產生圖片。

  • 🖼 多模態輸入 – （選用）同時處理文字與圖片輸入。

  • ⚡ 本地與雲端混合流程 – 本地執行 LM Studio，同時利用 Gemini API 提供的雲端運算能力。

Related MCP server: Nano Banana MCP

📦 系統需求

🚀 安裝與設定

git clone git@github.com:bowwowxx/GeminiMcpServer.git
cd GeminiMcpServer
npm install

建立 Google API Key：

  1. 前往 Google AI Studio

  2. 建立新的 API 金鑰

設定環境變數： 在專案根目錄建立 .env 檔，並加入：

GEMINI_API_KEY="your_api_key_here"

▶ 使用方式

啟動伺服器：

npm start

執行測試：

npx tsx testapi.js

此測試會使用 Gemini 2 的實驗性影像生成 API 建立圖片。

mole

📡 MCP 請求範例

{
  "tool": "generateImage",
  "params": {
    "prompt": "A photorealistic 3D rendered pig standing in a sunny field",
    "outputFormat": "png",
    "aspectRatio": "16:9"
  }
}

📡 LM Studio設定範例

{
  "mcpServers": {
    "GeminiMcpServer": {
      "command": "npm",
      "args": [
        "run",
        "start"
      ],
      "cwd": "/Users/bowwow/github/GeminiMcpServer"
    }
  }
}

mole

Available Tools

1 tool
generateImageD
ParametersJSON Schema
NameRequiredDescriptionDefault
promptYes
aspectRatioNo
outputFormatNo

TDQS

D1/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • First observedgenerateImage
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TDQS

D1.7/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool stands alone with a distinct purpose by default.

Naming Consistency5/5

A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'generateImage' follows a clear verb_noun pattern.

Tool Count2/5

One tool is too few for most server purposes, as it limits functionality and suggests an incomplete or trivial implementation. For an image generation server, more tools (e.g., for editing, listing, or managing images) would typically be expected.

Completeness1/5

The server is severely incomplete for image generation, lacking any tools for operations like editing images, retrieving generated images, managing parameters, or handling errors. A single generation tool leaves significant gaps in the workflow.

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