arXiv MCP Server
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Related Servers
- AlicenseAqualityDmaintenanceEnables interaction with arXiv.org to search scholarly articles, retrieve metadata, download PDFs, and load article content directly into LLM context for analysis.53MIT
- AlicenseNot gradedqualityDmaintenanceManages arXiv papers: search, download, analyze, and save AI-generated summaries. Enables AI assistants to interact with the arXiv platform.MIT
- AlicenseBqualityDmaintenanceEnables searching and retrieving academic papers from arXiv by various criteria including title, author, and category, with support for extracting full text content from PDFs.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to discover and manage arXiv papers by searching for papers, extracting metadata, and browsing saved collections, all within the conversation.1MIT
- AlicenseAqualityDmaintenanceEnables LLMs to search, download, and read arXiv papers with automatic PDF text extraction and section filtering. Provides AI assistants direct access to scientific literature with local caching for fast re-access.316 PyPI1MIT
- AlicenseBqualityDmaintenanceEnables searching academic papers on arXiv and retrieving detailed information such as title, authors, summary, and PDF link.16MIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: download_paper handles PDF retrieval, get_paper provides metadata, list_downloaded_papers manages local storage, and search_papers performs queries. The descriptions reinforce these boundaries, making tool selection unambiguous for an agent.
All tool names follow a consistent verb_noun pattern (download_paper, get_paper, list_downloaded_papers, search_papers) with clear, descriptive verbs. There are no deviations in style or convention, making the naming predictable and easy to understand.
With 4 tools, the server is well-scoped for arXiv paper management, covering core operations like search, metadata retrieval, and PDF handling. It feels slightly lean but reasonable, as it includes essential functions without unnecessary bloat, though additional tools for updates or deletions might enhance coverage.
The tool set covers key arXiv workflows: searching, getting metadata, downloading, and listing downloaded papers. Minor gaps exist, such as no explicit update or delete operations for local files, but agents can work around this. The surface is largely complete for the domain of paper discovery and access.