Academic Search MCP
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Alternatives to Academic Search MCP
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables searching academic papers, exploring citation graphs, and looking up authors from Semantic Scholar's database of 200M+ papers.4MIT
- AlicenseAqualityDmaintenanceProvides tools to search, retrieve, and explore over 200M academic papers, authors, citations, and full-text snippets via the Semantic Scholar API.1635 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables searching and retrieving academic paper metadata from Semantic Scholar, including paper details, citations, and author information.20MIT
- AlicenseAqualityCmaintenanceEnables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.113MIT
- FlicenseAqualityDmaintenanceEnables searching and retrieving academic papers, authors, citations, and recommendations from Semantic Scholar via MCP.9-
- FlicenseAqualityCmaintenanceProvides access to the Semantic Scholar Academic Graph API, enabling search and retrieval of papers, authors, citations, and related academic data.141-
TDQS
Scored across 5 tools
Tools have distinct purposes: single/batch fetch, search, and recommendation. The two search tools (search_by_topic, search_papers) have overlapping functionality, but the descriptions clarify that search_by_topic is a convenience wrapper with year range parameters, reducing ambiguity.
All tools follow a verb_noun pattern in snake_case (e.g., fetch_paper_details, get_papers_batch, recommend_papers, search_papers). The slight deviation of search_by_topic (verb_preposition_noun) is minor and still predictable.
Five tools cover the core operations of an academic search server: single/batch retrieval, two search variants, and recommendation. The scope is well-defined, and no tool feels redundant or missing for the stated purpose.
The tool set covers essential tasks: search, retrieve, and recommend. However, it lacks tools for fetching citations, references, or author details, which are common in academic search. This is a minor gap for a complete workflow.