Research Assistant
Enhance AI assistant capabilities with integrated tools for academic research, file management, and web content retrieval.
About
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
- Retrieve content from websites and APIs
- Automatically saves research data organized by topics
- Browse, read, and manage project files
- Search and manage academic papers from arXiv
- Works with Claude, Gemini, and other AI models
- 0 GitHub stars
Use Cases
- Managing project files by listing directories, reading file contents, or creating new files.
- Fetching web content or making API calls to gather information for research.
- Searching for academic papers on specific topics and retrieving their details.
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