Gemini

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Gemini provides an MCP (Model Context Protocol) server to seamlessly connect to Google's Gemini models, including Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash, and Embedding-001. It stands out with robust features like advanced file handling, allowing uploads of over 40 file types, and comprehensive Batch API integration. This batch functionality enables asynchronous processing at 50% cost, with intelligent JSONL conversion for various input formats and a suite of 11 tools for content generation and 8 types of embedding tasks. The server also includes automatic API key configuration for Claude Code and Claude Desktop, multi-turn conversation management, and full TypeScript implementation for type safety and production readiness.

Características Principales

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• Advanced file handling, supporting 40+ file types for direct model input and batch jobs.
• Multi-turn conversation management with history tracking and full TypeScript implementation.
• Batch API integration for asynchronous processing at 50% cost with ~24hr turnaround.
• Access multiple Gemini models (2.5 Pro, 2.5 Flash, 2.0 Flash, Embedding-001).
• Interactive API key configuration for Claude Code, Claude Desktop, and shell environments.

Casos de Uso

• Execute large-scale content generation or data processing tasks asynchronously with Gemini models to reduce costs.
• Generate 1536-dimensional embeddings for applications requiring semantic similarity, classification, clustering, or search.
• Integrate Google Gemini's conversational AI and advanced file input capabilities directly into developer tools like Claude Code.