aigroup-paper-mcp
Related Servers
Alternatives to aigroup-paper-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceUnified academic search MCP server that searches open literature (arXiv, bioRxiv, medRxiv, PMC), CNKI, and Web of Science, with browser-backed authentication, local paper library, and export to multiple formats.212MIT
- AlicenseNot gradedqualityDmaintenanceA MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.4MIT
- AlicenseAqualityFmaintenanceAI-powered academic paper search MCP server with relevance scoring, summarization, author search, and credit checking. Enables users to search papers naturally and get scored results.329 npmMIT
- AlicenseAqualityAmaintenanceMulti-source academic paper search, citation graph exploration, and PDF download as an MCP server, designed for LLM agents doing research.6118 PyPI3Apache 2.0
- AlicenseAqualityAmaintenanceComprehensive MCP server for academic research workflows, enabling paper searching across multiple sources, manuscript processing with citation placeholders, search caching, and citation export.11MIT
- AlicenseAqualityCmaintenanceUnified MCP server for scientific literature search and extraction, integrating databases like Scopus, OpenAlex, Semantic Scholar, and Unpaywall to enable AI agents to discover papers, track citations, and analyze content.27MIT
TDQS
Scored across 8 tools
All tools have clearly distinct purposes: advanced_search vs search_papers differ in syntax capabilities, smart_cache_search targets cache semantic search, and others are unique operations. No overlapping responsibilities.
All tool names follow a consistent snake_case pattern with imperative verbs (fetch, list, manage, search) or compound nouns, no mixing of conventions.
8 tools is appropriate for a paper MCP server, covering search, retrieval, cache management, and trend analysis without being too sparse or bloated.
Core functionalities like searching (basic, advanced, semantic), fetching, categories, and trends are covered. Minor gaps include lack of direct PDF retrieval or citation networking, but the surface is comprehensive for typical academic paper search.