ScholarFetch
by laibniz-scholarfetch-web.hf.space in Search & web
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
https://laibniz-scholarfetch-web.hf.space/mcp/- Tools
- 12
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 332 ms
- 391 ms slowest 5%
- Last check
- Passed
- 8 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"scholarfetch": {
"type": "http",
"url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
}
}
}12 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…
- 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…
- 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…
- 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…
- 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…
- 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`…
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Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 8 h ago | Passed | 200 | 309 ms |
| 18 h ago | Passed | 200 | 332 ms |
| 27 h ago | Passed | 200 | 347 ms |
| 37 h ago | Passed | 200 | 320 ms |
| 46 h ago | Passed | 200 | 313 ms |
Show 8 older checks
| 2 days ago | Passed | 200 | 333 ms |
| 3 days ago | Passed | 200 | 340 ms |
| 3 days ago | Passed | 200 | 321 ms |
| 4 days ago | Passed | 200 | 380 ms |
| 4 days ago | Passed | 200 | 320 ms |
| 4 days ago | Passed | 200 | 343 ms |
| 5 days ago | Passed | 200 | 391 ms |
| 5 days ago | Passed | 200 | 327 ms |