MCP Scholarly Server
Related Servers
Alternatives to MCP Scholarly Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables searching and retrieving academic papers from arXiv by topic, allowing users to discover research papers and extract their metadata including titles, authors, abstracts, and PDF links through natural language queries.-
- 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 gradedqualityBmaintenanceEnables searching academic papers, exploring citation graphs, and discovering related research via ArXiv and Semantic Scholar APIs.MIT
- FlicenseNot gradedqualityDmaintenanceEnables querying and discovering the latest arXiv papers by category or keyword, providing structured metadata including titles, authors, summaries, and links for research assistance and literature review workflows.-
- FlicenseNot gradedqualityDmaintenanceEnables searching arXiv papers by topic or category, retrieving full text, PDFs, and BibTeX citations, and generating structured reviews and comparisons.-
- FlicenseNot gradedqualityDmaintenanceEnables searching, downloading, and analyzing academic papers from arXiv and Semantic Scholar to extract key insights and citation metrics. It facilitates autonomous knowledge acquisition by processing research findings and integrating them into persistent AI memory systems.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one searches ArXiv specifically, while the other searches Google Scholar. There is no overlap in their functionality, and an agent can easily choose the appropriate tool based on the desired academic database.
Both tools follow a consistent verb_noun pattern with 'search' as the verb and the database name as the noun (arxiv, google-scholar). The naming is uniform and predictable across the set.
With only 2 tools, the server feels thin for a 'Scholarly Server' that might be expected to handle broader academic tasks. While search is a core function, typical scholarly workflows could benefit from additional tools like fetching article details, citations, or managing references.
The server is severely incomplete for a scholarly domain, as it only provides search functionality without any tools for retrieving full articles, accessing metadata, or performing follow-up actions like citation analysis. This leaves significant gaps that could hinder agent workflows.