DeepSearch
Enables AI models to leverage the Gemini 2.5 Flash Deepsearch model for powerful, internet-connected search capabilities.
Acerca de
DeepSearch is a TypeScript-powered tool designed to integrate the powerful Deepsearch model into AI systems, particularly those operating within the Model Context Protocol (MCP) ecosystem. It provides a unified client, proxy layer, and MCP server entry, allowing AI models that lack inherent internet connectivity to perform broad or site-directed searches. For AI models already capable of search, DeepSearch significantly enhances their search efficacy by leveraging the advanced capabilities of the Gemini 2.5 Flash Deepsearch model.
Características Principales
- Configurable via environment variables for flexible deployment and credentials.
- Enables broad and site-directed internet search for AI models.
- Seamless integration with Model Context Protocol (MCP) clients like Codex.
- TypeScript implementation ensuring robust and testable core logic.
- 3 GitHub stars
- Unified client, proxy, and MCP server for Deepsearch model integration.
Casos de Uso
- Boosting the search effectiveness and scope of existing AI systems.
- Allowing AI models without internet access to perform sophisticated web searches.
- Integrating advanced web and site-specific search into MCP-compliant AI agents.
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