Research Assistant

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The Research Assistant server acts as a powerful Model Context Protocol (MCP) tool, designed to streamline and enhance complex research tasks. It unifies capabilities from Google Custom Search and Wikipedia, presenting a vast array of 28 specialized tools, 23 comprehensive resources, and 22 structured research prompts. This robust platform facilitates efficient search, in-depth analysis, content extraction, and systematic research management, all optimized with multi-layer caching for superior performance and compatibility with various MCP clients.

Características Principales

• Provides 28 tools (Google Search, Wikipedia, enhanced analysis), 23 resources, and 22 research prompts.
• Features multi-layer LRU caching for performance optimization.
• Includes 8 enhanced analysis tools that operate without requiring additional API keys.
• 0 GitHub stars
• Integrates Google Custom Search and Wikipedia for comprehensive information retrieval.
• Supports client-based configuration for MCP clients like Cursor and Claude.

Casos de Uso

• Performing advanced web searches, content extraction, and sentiment analysis.
• Conducting in-depth academic or professional research and literature reviews.
• Managing research sessions, organizing findings, and generating formatted citations.