Gemini Pro

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This Model Context Protocol (MCP) server acts as a robust bridge, allowing MCP-compatible clients such as Claude Desktop to seamlessly access the full suite of Google's state-of-the-art Gemini AI models. It unlocks advanced functionalities like step-by-step reasoning via 'thinking models,' real-time web grounding through Google Search, structured JSON output with schema validation, vision support for image analysis, and intelligent conversation memory, making powerful AI capabilities accessible for a wide range of tasks and applications.

Características Principales

• Provides a suite of built-in tools for text generation, image analysis, token counting, model listing, and text embeddings.
• Production-ready architecture with full TypeScript, comprehensive error handling, rate limiting, and detailed logging.
• Flexible configuration via environment variables, with support for development and production environments.
• 1 GitHub stars
• Seamless integration with the latest Google Gemini AI models (2.5 Pro, 2.5 Flash, 2.0 Series, 1.5 Series).
• Supports advanced Gemini capabilities including thinking models, Google Search grounding, JSON mode, and multimodal vision support.

Casos de Uso

• Leveraging Google Gemini models for natural language processing, complex reasoning, and creative content generation through Claude Desktop.
• Performing advanced AI tasks such as structured data extraction, real-time web information retrieval, and image analysis.
• Automating and enhancing development workflows by utilizing Gemini for code review, test generation, and documentation tasks.