mcp server
ScholarFetch
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
Description as published by the maintainer. Source
- version 0.2.1
- slowing
- retrieval
slowing — Registry entry last updated 2026-03-23. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
12 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
scholarfetch_abstract(doi, engines, author_name, paper_index, candidate_index)- 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(doi, engines, author_name, paper_index, candidate_index)- 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 a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar.
scholarfetch_author_candidates(name, limit, engines)- 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`. Required: name.
scholarfetch_author_papers(limit, engines, filters, author_id, author_name, candidate_index)- 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`: year>=YYYY, year<=YYYY, year=YYYY, has:abstract, has:doi, has:pdf, venue:<text>, title:<text>, doi:<text>. If you pass `engines`, it must include `openalex`.
scholarfetch_doi_lookup(doi, engines)- 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. Required: doi.
scholarfetch_references(doi, engines, author_name, paper_index, candidate_index)- 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, semanticscholar.
scholarfetch_saved_add(doi, query, engines, collection, paper_json, author_name, paper_index, result_index, candidate_index)- 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 together.
scholarfetch_saved_clear(collection)- Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
scholarfetch_saved_export(style, format, engines, collection, include_references)- 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 richer downstream synthesis corpus.
scholarfetch_saved_list(collection)- 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(doi, title, collection)- Remove one paper from a named in-memory reading list by DOI or exact title.
scholarfetch_search(limit, query, engines)- 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, springer, semanticscholar. Required: query.
Last successful function declaration observed on . Source: https://laibniz-scholarfetch-web.hf.space/mcp/. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://laibniz-scholarfetch-web.hf.space/mcp/.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 0.2.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-03-23 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-03-23 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 12 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | laibniz-scholarfetch-web.hf.space | |
| mcp endpoint status | ok | The server listed 12 functions when asked. | as of probe | laibniz-scholarfetch-web.hf.space |
Where to get it
This record as data
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