Search arXiv papers, download full text, semantic search, citation graphs, and alerts via MCP.
ScholarFetch is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http scholarfetch-mcp https://laibniz-scholarfetch-web.hf.space/mcp/
# 2 — ask your agent for something these tools do
# scholarfetch_search, scholarfetch_doi_lookup, scholarfetch_author_candidates and 9 more
ScholarFetch costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http scholarfetch-mcp https://laibniz-scholarfetch-web.hf.space/mcp/Reconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
12 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| limit | integer | no | — |
| engines | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| doi | string | yes | — |
| engines | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | — |
| limit | integer | no | — |
| engines | string | no | — |
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:<
| Parameter | Type | Required | Notes |
|---|---|---|---|
| author_id | no | — | |
| author_name | no | — | |
| candidate_index | integer | no | — |
| limit | integer | no | — |
| filters | string | no | — |
| engines | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| doi | no | — | |
| author_name | no | — | |
| candidate_index | integer | no | — |
| paper_index | integer | no | — |
| engines | string | no | — |
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, semanticscho
| Parameter | Type | Required | Notes |
|---|---|---|---|
| doi | no | — | |
| author_name | no | — | |
| candidate_index | integer | no | — |
| paper_index | integer | no | — |
| engines | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| doi | no | — | |
| author_name | no | — | |
| candidate_index | integer | no | — |
| paper_index | integer | no | — |
| engines | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| collection | string | no | — |
| paper_json | no | — | |
| doi | no | — | |
| query | no | — | |
| result_index | integer | no | — |
| author_name | no | — | |
| candidate_index | integer | no | — |
| paper_index | integer | no | — |
| engines | string | no | — |
List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| collection | string | no | — |
Remove one paper from a named in-memory reading list by DOI or exact title.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| collection | string | no | — |
| doi | no | — | |
| title | no | — |
Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| collection | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| collection | string | no | — |
| format | string | no | — |
| style | string | no | — |
| include_references | boolean | no | — |
| engines | string | no | — |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install ScholarFetch or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.2.1.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish ScholarFetch can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.