semantic-scholar-mcp
Related Servers
Alternatives to semantic-scholar-mcp
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceAn MCP server that provides access to Semantic Scholar's academic paper database, enabling paper search, detailed retrieval, author info, and citation export.410-
- AlicenseBqualityDmaintenanceMCP server that provides Semantic Scholar academic search capabilities, including paper search, detail query, citation analysis, author search, and intelligent recommendations.965 npm7MIT
- AlicenseNot gradedqualityDmaintenanceEnables searching and retrieving academic papers, authors, citations, and references from Semantic Scholar via an HTTP MCP server with caching and rate limiting.117 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 gradedqualityDmaintenanceAn MCP server for academic research combining local document search with Semantic Scholar API integration.MIT
- FlicenseNot gradedqualityCmaintenanceA unified MCP server providing programmatic access to three major academic research APIs: Semantic Scholar, OpenAlex, and PubMed.2-
TDQS
Scored across 9 tools
Each tool targets a distinct operation: paper search, single/batch lookup, citations/references, author search, author retrieval, author papers, and single/multi-seed recommendations. The only partial overlap between singles and batch or single/multi recommendations is clearly resolved by scope and descriptions.
All tools share a consistent s2_ prefix and mostly follow an action_object pattern: search_papers, get_paper, get_author, recommend_single. Two names deviate slightly — s2_citations and s2_author_papers are noun phrases rather than imperative verbs — but the naming remains predictable and readable.
Nine tools is a well-scoped size for a Semantic Scholar read-only API: search, retrieval, batch operations, authors, citations, and recommendations. Each tool adds a distinct capability without redundancy or bloat.
The set covers the main Semantic Scholar workflows: keyword search, ID lookup by multiple identifier types, batch resolution, citation/reference traversal, author discovery and author papers, plus both single- and multi-seed recommendations. For a read-only scholarly API there are no obvious dead ends or missing core endpoints.