Frequently Asked Questions
Q: What is the MCP Scholarly Server?
A: The MCP Scholarly Server is a tool designed to facilitate the search for accurate academic articles, primarily through the Arxiv database.
Q: How does the search-arxiv tool work?
A: The search-arxiv tool allows users to input a keyword, which it then uses to search the Arxiv database for relevant academic articles.
Q: Can the MCP Scholarly Server be integrated with other platforms?
A: Yes, the server can be integrated with platforms like UBOS to enhance its functionality and provide a comprehensive research experience.
Q: What are the installation options for the MCP Scholarly Server?
A: The server can be installed on Claude Desktop for both MacOS and Windows, or via Docker, making it versatile and easy to set up.
Q: How does UBOS complement the MCP Scholarly Server?
A: UBOS offers a full-stack AI Agent Development Platform that can integrate with the MCP Scholarly Server, allowing for the development of custom AI Agents that enhance research capabilities.
Scholarly Search
Project Details
- adityak74/mcp-scholarly
- MIT License
- Last Updated: 4/21/2025
Recomended MCP Servers
Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop
A Model Context Protocol server for document Q&A powered by Langflow . It demonstrates core MCP concepts by...
Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations...
Scrapeless Mcp Server
A lightweight MCP server for processing, editing, and interacting with PDF, Word, Excel, and CSV documents.
python MCP NAVER
CAD MCP Server
一个基于MCP协议的开发文档服务器,专为各类开发框架文档设计
Securely run AI-generated code in stateful sandboxes that run forever.
Agent Framework / shim to use Pydantic with LLMs
A Model Context Protocol (MCP) server for Apache Seatunnel. This provides access to your Apache Seatunnel RESTful API...





