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Research Assistant

khushiiagrawalbykhushiiagrawal
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1
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Productivity & Workflow
Data Science & ML
Web Scraping & Data Collection

Enhance AI assistant capabilities with integrated tools for academic research, file management, and web content retrieval.

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The Research Assistant provides a comprehensive Model Context Protocol (MCP) setup, significantly enhancing AI assistant capabilities for research workflows. It integrates multiple MCP servers to offer powerful tools for searching and managing academic papers from arXiv, browsing and reading project files, and fetching content from various websites and APIs. Designed for seamless integration, it supports popular large language models like Claude and Gemini, and automatically organizes saved research data for efficient access.

Key Features

01Retrieve content from websites and APIs
02Automatically saves research data organized by topics
03Browse, read, and manage project files
04Search and manage academic papers from arXiv
05Works with Claude, Gemini, and other AI models
060 GitHub stars

Use Cases

01Managing project files by listing directories, reading file contents, or creating new files.
02Fetching web content or making API calls to gather information for research.
03Searching for academic papers on specific topics and retrieving their details.