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What is the arXiv Research Assistant MCP Server?

The arXiv Research Assistant MCP Server is a Model Context Protocol (MCP) server designed to interact with the extensive arXiv.org paper database, enabling efficient searching, exploring, and comparing of research papers.

How to use the arXiv Research Assistant MCP Server?

To use the server, install it via Smithery or PyPI, run the server locally, and configure it with compatible clients like Claude AI by adding the necessary JSON configuration to their MCP settings.

Key features of the arXiv Research Assistant MCP Server?

• Keyword-based Paper Search: Search papers by keywords with sorting options.
• Latest Papers by Category: Fetch recent papers in specified arXiv categories.
• Paper Details Lookup: Retrieve detailed metadata using a paper's arXiv ID.
• Author-based Paper Search: List papers published by specific authors.
• Trend Analysis: Overview of trending keywords/topics in recent papers (experimental).
• Summarization Prompt Generator: Generate prompts for summarizing papers.
• Comparison Prompt Generator: Create structured prompts for comparing two papers.

Use cases of the arXiv Research Assistant MCP Server?

1. Researchers can quickly find relevant papers in their field of study.
2. Students can explore recent advancements in specific categories.
3. Academics can compare research outputs from different authors.

FAQ from the arXiv Research Assistant MCP Server?

• Can I search for papers in any category?

  Yes, you can specify any arXiv category code to fetch recent papers.

• Is the server easy to set up?

  Yes, installation can be done via Smithery or PyPI with simple commands.

• What programming language is used?

  The server is built using Python and the FastMCP framework.