asterism-mcp
Related Servers
Alternatives to asterism-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables AI assistants to search and retrieve real academic papers from Scopus, preventing citation hallucination by providing accurate paper metadata, author info, and citation analysis.153MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to conduct academic research workflows such as paper discovery, literature mapping, citation chasing, author pivots, citation repair, and regulatory or species document retrieval.MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to search a reference library, retrieve complete metadata for specific items, and access their full text through MCP tools.-
- FlicenseAqualityDmaintenanceEnables searching and reading of AI/ML papers from conference proceedings and arxiv, with tools for full-text search, table of contents, and content grep.4-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to verify citations, check retractions, search papers, format bibliographies, run PRISMA 2020 screening, and find open datasets and research software using open databases.MIT

SciWeave MCP Serverofficial
FlicenseNot gradedqualityDmaintenanceGround Claude, ChatGPT, Cursor, and Windsurf in 300M scientific works — every citation a verifiable DOI.-
TDQS
Scored across 7 tools
The three search tools (`search`, `search_works`, `search_tables`) could appear overlapping at a glance, but the descriptions explicitly scope each: full-text passages, titles/abstracts, and tables respectively, including guidance on when to pick which. Retrieval tools (`get_passage`, `get_table`, `paper`) target clearly distinct units (chunk, table, work), leaving no real ambiguity.
The set follows a mostly predictable scheme: `get_X` for fetch-by-id and `search_X`/`count_by_year` for querying, with snake_case throughout. Deviations are the bare `search` (which by analogy should be something like `search_passages`) and the noun-only `paper`, but both are still readable and unambiguous in context.
Seven tools is well-scoped for a literature-discovery server: three discovery modes, three retrieval modes, and one aggregation tool, each earning its place. Nothing feels padded or redundant.
The surface covers the core search-and-read lifecycle: discovery by abstract, full text, tables, or trend counts, plus retrieval of metadata, passages with context, and full tables. Gaps exist around citation/reference graph traversal and author- or venue-based browsing, but agents can work around these with the existing search tools.