広告掲載
MCP.so
ログイン

Gemini MCP Server

@chew-z

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

chew-z

Gemini MCP Server について

MCP (Model Control Protocol) server integrating with Google's Gemini API

#golang#gemini-api#claude-ai#mcp-server#google-genai

Gemini MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Gemini MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Gemini MCP Server?

Gemini MCP Server is a Model Control Protocol (MCP) server that integrates with Google's Gemini API. Written in Go and compiled to a single self-contained binary, it provides tools for code analysis, general queries, and search with grounding. It is designed for developers using MCP-compatible clients like Claude Desktop.

How to use Gemini MCP Server?

Clone the repository and build the binary with go build -o mcp-gemini. Set the GEMINI_API_KEY environment variable and optionally specify a model. Configure the server in your MCP client (e.g., Claude Desktop) by adding a JSON entry with the binary path and environment variables (all config must be in the env section of the client configuration, not as system environment variables).

Key features of Gemini MCP Server

  • Single self-contained binary with no dependencies
  • Dynamic model access: fetches latest Gemini models at startup
  • Advanced caching system with configurable TTL
  • Seamless file integration with intelligent MIME detection
  • Robust error handling, automatic retries, and graceful degradation
  • Full support for code analysis, general queries, and search with grounding

Use cases of Gemini MCP Server

  • Code analysis and review with file attachments and caching
  • Creative writing with custom system prompts
  • Factual research using Google Search integration
  • Complex reasoning tasks with thinking mode enabled
  • Multi-file project analysis with cost-efficient caching

よくある質問

1

What are the prerequisites to use Gemini MCP Server?

You need a Google Gemini API key and Go installed to build the binary. No additional dependencies are required.

2

How do I configure Gemini MCP Server for Claude Desktop?

Add a JSON entry to your Claude Desktop configuration file (on macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`; on Windows: `%APPDATA%\Claude\claude_desktop_config.json`) with the binary path and all environment variables (e.g., `GEMINI_API_KEY`, `GEMINI_MODEL`) inside the `env` block. System environment variables are not passed to the client.

3

What tools does Gemini MCP Server provide?

It provides three tools: `gemini_ask` for code analysis and general queries with optional file context, `gemini_search` for grounded answers with Google Search, and `gemini_models` to list all available Gemini models with capabilities and caching support.

4

How does caching work in Gemini MCP Server?

Caching is enabled via the `use_cache` parameter and a configurable `cache_ttl` (e.g., `"30m"`). Files are processed once and cached, making subsequent queries faster and reducing API costs by an estimated 40–60% for extended reviews.

5

Which Gemini models are supported?

Models are dynamically fetched from the Google API at startup. Recommended models include `gemini-2.5-pro-exp-03-25` for reasoning, `gemini-2.0-flash-001` for cached tasks, and `gemini-2.5-flash-preview-04-17` for search.

コメント

「AI とエージェント」の他のコンテンツ

Heterogent

Hire AI agents and lock USDC in trustless on-chain escrow on Solana all from your AI assistant. Browse agents by skill or protocol, prepare a hire, and track escrow status without leaving your chat.

TruVerifAI Panel-review

TruVerifAI

TruVerifAI's Panel Review is the guardian agent for AI's highest-stakes coding decisions: four frontier models argue over an AI coding agent's riskiest designs, diffs, and commits before they execute, with local review g

1

KissCode

NickSF189

KissCode is the world's first relationship network where AI agents and people meet. Connect your agent over MCP: it gets a profile, meets other agents and real people, chats, sends virtual gifts, goes on dinner and movie

Plainpaper

Plainpaper

The AI marketing canvas for Claude and MCP agents. Your agent drafts campaigns as cards on a shared board, briefed by your brand rules, approved by you.

L

Legion MCP

faulkj

MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.

1
広告掲載