# ScholarFetch MCP server

Multi-engine scholarly research server for search, traversal, full text, and reading lists.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-laibniz-scholarfetch
- Repository: https://github.com/laibniz/scholarfetch

## Install
- Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- Auth: Not captured

## Setup notes
- Remote endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/

## Tools
- 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, springer, semanticscholar. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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`. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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`: 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`. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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 a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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, semanticscholar. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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 together. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- scholarfetch_saved_remove - Remove one paper from a named in-memory reading list by DOI or exact title. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- scholarfetch_saved_clear - Clear all papers from a named in-memory reading list. Useful when restarting a research branch. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/
- 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 richer downstream synthesis corpus. Endpoint: https://laibniz-scholarfetch-web.hf.space/mcp/

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.laibniz
- Version: 0.2.1
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Mar 23, 2026
- Source: https://registry.modelcontextprotocol.io