io.github.laibniz/scholarfetch · v0.2.1 · health-and-science
ScholarFetch is healthy: it completed an MCP handshake in 2546 ms and exposes 12 tools. It scores 56/100.
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/ (streamable-http)
Repository · JSON · Add to my inventory
| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 1 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T09:05:31.223Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T04:40:51.144Z | Healthy | 2546 |
scholarfetch_search | Start a research traversal from keywords, a DOI, or a person name. Returns deduplicated paper records that you can inspect, save, expand through references, or use as seeds for author exploration. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, |
scholarfetch_doi_lookup | Enrich one known DOI with metadata, reading links, and full-text availability signals. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar. |
scholarfetch_author_candidates | Disambiguate a human author name into ranked identity candidates. Use this before `scholarfetch_author_papers` when the name is ambiguous and you need a stable `candidate_index`. If you pass `engines`, it must include `openalex`. |
scholarfetch_author_papers | Expand one author into a deduplicated paper list. This is the main author->paper traversal tool and supports research filters. Use `author_id` when you already know the exact author, or `author_name` plus `candidate_index` after `scholarfetch_author_candidates`. Supported comma-separated `filters`: |
scholarfetch_abstract | Read the best abstract available for a paper. Use with a DOI or with author_name + candidate_index + paper_index after author_papers. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar. |
scholarfetch_article_text | Read full paper text when machine-readable content is recoverable. Use with a DOI or with author_name + candidate_index + paper_index. Uses Elsevier first, then open-access fallbacks such as Springer OA, Europe PMC, arXiv PDF, and generic PDF URLs when text is recoverable. If you pass `engines`, use |
scholarfetch_references | Expand a paper into its references. Use with a DOI or with author_name + candidate_index + paper_index. This is the main edge-expansion tool for traversing the literature graph. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semantic |
scholarfetch_saved_add | Add one paper to a named in-memory reading list on the MCP server. Best input is paper_json copied from another ScholarFetch tool result, but DOI, query+result_index, or author_name+candidate_index+paper_index also work. Reuse the same collection name across calls to keep one research session togeth |
scholarfetch_saved_list | List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items. |
scholarfetch_saved_remove | Remove one paper from a named in-memory reading list by DOI or exact title. |
scholarfetch_saved_clear | Clear all papers from a named in-memory reading list. Useful when restarting a research branch. |
scholarfetch_saved_export | Export the current reading list as citations, abstracts, BibTeX, or an aggregated full-text corpus. Valid `format` values: citations, abstracts, bib, fulltext. Valid `style` values when `format=citations`: harvard, apa, ieee. Use `include_references=true` with `format=fulltext` when you want a riche |