ai-papers-mcp
Related Servers
Alternatives to ai-papers-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables searching, downloading, and managing academic papers from arXiv.org through natural language interactions. Provides tools for paper discovery, PDF downloads, and local paper collection management.41MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.47Apache 2.0
- 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.328 PyPI1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to search, download, and read arXiv papers, with automatic detection of open-source code repositories and support for both LaTeX and PDF content.MIT
- FlicenseNot gradedqualityBmaintenanceEnables LLMs to search arXiv, extract and analyze paper content, and build a personal semantically-searchable research library with saved papers and notes.-
- FlicenseAqualityDmaintenanceEnables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.101-
TDQS
Scored across 4 tools
The two search tools (search_library_papers and search_arxiv_papers) are clearly differentiated by their source (local vs arxiv), and the paper-reading tools (get_paper_toc and grep_paper_content) serve distinct purposes. Minor potential for confusion exists between the two search tools, but descriptions clarify the difference.
All tool names follow a consistent verb_noun pattern using snake_case (search_library_papers, get_paper_toc, search_arxiv_papers, grep_paper_content). The verbs vary but the structure is uniform and predictable.
Four tools is well-scoped for the server's purpose: two search tools cover different paper sources, and two tools support reading specific paper content. The count is neither sparse nor bloated.
The core workflow of finding papers and reading their content is covered. Minor gaps exist, such as lack of a tool to retrieve the full paper text directly (only grep-based section extraction) or list all papers in the local library, but these are workable limitations.