SemanticScholar_MCP
Related Servers
Alternatives to SemanticScholar_MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query the Semantic Scholar Academic Graph for scholarly paper data, supporting tools for search, retrieval, and analysis.5 npmMIT
- FlicenseAqualityDmaintenanceEnables searching and retrieving academic papers, authors, citations, and recommendations from Semantic Scholar via MCP.9-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to search scholarly works, authors, institutions, venues, and concepts, retrieve detailed metadata, and explore citation networks through natural-language requests.2 npmMIT
- AlicenseBqualityAmaintenanceAn MCP server that provides access to Semantic Scholar's academic graph, recommendations, and datasets APIs, enabling paper search, citation analysis, author lookups, and dataset discovery through 20+ tools.223MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search 580,000+ open-access papers, standards, textbooks, and legal documents, resolve identifiers such as RFCs, DOIs, and legal citations, download PDFs, and retrieve citations and metadata through MCP tools.MIT
- AlicenseNot gradedqualityDmaintenanceEnables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.1MIT
TDQS
Scored across 10 tools
Tools are mostly distinct: get_authors/get_author differ by batch vs single ID, and search_papers vs search_papers_relevance are differentiated by bulk vs relevance-ranked semantics. The only slight confusion is the two search variants, but descriptions clarify their differing endpoints.
Naming follows a consistent verb_noun pattern with get_ for retrieval and search_ for querying. search_papers_relevance is a minor deviation from the simple object naming, but it remains readable and predictable.
10 tools is well-scoped for a scholarly search and retrieval API, covering authors, papers, citations, references, and author-paper relationships without unnecessary redundancy.
The surface covers the core academic search workflows: author lookup, single/batch paper retrieval, external ID support, bulk and relevance search, citations, references, and author-associated papers. For a read-only domain, no major gaps are apparent.