scopus-mcp
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Alternatives to scopus-mcp
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Related Servers
- AlicenseAqualityDmaintenanceProvides access to the Elsevier Scopus API, enabling AI assistants to search for academic papers, retrieve detailed abstracts, and look up author profiles. It facilitates bibliometric research and scholarly data analysis through natural language commands.5107 PyPI53MIT
- FlicenseNot gradedqualityAmaintenanceEnables LLMs and compatible clients to search academic papers, retrieve detailed metadata and abstracts, access full-text content when available, and perform topic searches with optional date filters via MCP tools.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to search academic papers and retrieve metadata, abstracts, and available full-text content from Semantic Scholar and Crossref through MCP tools.-
- FlicenseNot gradedqualityAmaintenanceEnables searching and retrieving academic papers, author profiles, citation and reference networks, recommendations, and related metadata from the Semantic Scholar API through MCP tools.-
- FlicenseNot gradedqualityAmaintenanceEnables users to search academic papers, analyze citation networks, retrieve author details and publication histories, and get paper recommendations through a unified MCP interface.-
- AlicenseAqualityCmaintenanceEnables MCP clients to search for published academic articles and retrieve detailed metadata, abstracts, citation counts, and related information from the Elsevier Scopus API. Supports citation verification and writing-style analysis grounded in peer-reviewed sources.3MIT
TDQS
Scored across 12 tools
Each tool has a clearly distinct scope: search vs. retrieve vs. citation-graph vs. aggregate analysis. The only risky pairs are scopus_get_abstract vs. scopus_get_abstracts (singular/plural distinguished mostly by the batch size mentioned in the description) and scopus_get_citation_count vs. scopus_get_citations_overview, but the descriptions explicitly state when to prefer which, so an agent can disambiguate.
All twelve tools share a single scopus_ prefix followed by a snake_case verb_noun pattern (search_authors, get_abstract, get_citations_overview, analyze_results). No camelCase or verb-style mixing; the singular/plural distinction is the only naming subtlety and it is deliberate.
Twelve tools is well within the sweet spot and each maps to a genuine Elsevier/SCOPUS capability (paper search, author index, affiliation index, retrieval, citation metrics, reference graph, aggregation, access diagnostics). Nothing looks like filler or a redundant alias.
The surface covers the full research workflow: discovery (papers, authors, affiliations), detail retrieval (single and batch abstracts, author profiles), citation graph (count, timeline, references, citing documents), analysis, and access troubleshooting. Minor gaps: there is no get_affiliation detail tool despite affiliation_id being returned by search, and no direct lookup by ISSN/source title, but agents can work around both via scopus_search.