ScholarFetch
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"scholarfetch": {
"url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
}
}
}Remote-Endpunkte
https://laibniz-scholarfetch-web.hf.space/mcp/streamable-httpWas es kann
Tool-Inventar
Tools (12)
🟢scholarfetch_search(query, limit, 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"title": "Query",
"type": "string"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"required": [
"query"
],
"title": "scholarfetch_searchArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_searchOutput"
}⚪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.
Eingabe-Schema
{
"type": "object",
"properties": {
"doi": {
"title": "Doi",
"type": "string"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"required": [
"doi"
],
"title": "scholarfetch_doi_lookupArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_doi_lookupOutput"
}⚪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`.
Eingabe-Schema
{
"type": "object",
"properties": {
"name": {
"title": "Name",
"type": "string"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"required": [
"name"
],
"title": "scholarfetch_author_candidatesArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_author_candidatesOutput"
}⚪scholarfetch_author_papers(author_id, author_name, candidate_index, limit, filters, ...)
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`.
Eingabe-Schema
{
"type": "object",
"properties": {
"author_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Author Id"
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Author Name"
},
"candidate_index": {
"default": 1,
"title": "Candidate Index",
"type": "integer"
},
"limit": {
"default": 50,
"title": "Limit",
"type": "integer"
},
"filters": {
"default": "",
"title": "Filters",
"type": "string"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"title": "scholarfetch_author_papersArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_author_papersOutput"
}🟢scholarfetch_abstract(doi, author_name, candidate_index, paper_index, engines)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Doi"
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Author Name"
},
"candidate_index": {
"default": 1,
"title": "Candidate Index",
"type": "integer"
},
"paper_index": {
"default": 1,
"title": "Paper Index",
"type": "integer"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"title": "scholarfetch_abstractArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_abstractOutput"
}🟢scholarfetch_article_text(doi, author_name, candidate_index, paper_index, engines)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Doi"
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Author Name"
},
"candidate_index": {
"default": 1,
"title": "Candidate Index",
"type": "integer"
},
"paper_index": {
"default": 1,
"title": "Paper Index",
"type": "integer"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"title": "scholarfetch_article_textArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_article_textOutput"
}⚪scholarfetch_references(doi, author_name, candidate_index, paper_index, engines)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Doi"
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Author Name"
},
"candidate_index": {
"default": 1,
"title": "Candidate Index",
"type": "integer"
},
"paper_index": {
"default": 1,
"title": "Paper Index",
"type": "integer"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"title": "scholarfetch_referencesArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_referencesOutput"
}🟡scholarfetch_saved_add(collection, paper_json, doi, query, result_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.
Eingabe-Schema
{
"type": "object",
"properties": {
"collection": {
"default": "default",
"title": "Collection",
"type": "string"
},
"paper_json": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Paper Json"
},
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Doi"
},
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
},
"result_index": {
"default": 1,
"title": "Result Index",
"type": "integer"
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Author Name"
},
"candidate_index": {
"default": 1,
"title": "Candidate Index",
"type": "integer"
},
"paper_index": {
"default": 1,
"title": "Paper Index",
"type": "integer"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"title": "scholarfetch_saved_addArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_saved_addOutput"
}🟡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.
Eingabe-Schema
{
"type": "object",
"properties": {
"collection": {
"default": "default",
"title": "Collection",
"type": "string"
}
},
"title": "scholarfetch_saved_listArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_saved_listOutput"
}🔴scholarfetch_saved_remove(collection, doi, title)
Remove one paper from a named in-memory reading list by DOI or exact title.
Eingabe-Schema
{
"type": "object",
"properties": {
"collection": {
"default": "default",
"title": "Collection",
"type": "string"
},
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Doi"
},
"title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Title"
}
},
"title": "scholarfetch_saved_removeArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_saved_removeOutput"
}🔴scholarfetch_saved_clear(collection)
Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
Eingabe-Schema
{
"type": "object",
"properties": {
"collection": {
"default": "default",
"title": "Collection",
"type": "string"
}
},
"title": "scholarfetch_saved_clearArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_saved_clearOutput"
}🟢scholarfetch_saved_export(collection, format, style, include_references, engines)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"collection": {
"default": "default",
"title": "Collection",
"type": "string"
},
"format": {
"default": "citations",
"title": "Format",
"type": "string"
},
"style": {
"default": "harvard",
"title": "Style",
"type": "string"
},
"include_references": {
"default": false,
"title": "Include References",
"type": "boolean"
},
"engines": {
"default": "",
"title": "Engines",
"type": "string"
}
},
"title": "scholarfetch_saved_exportArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "scholarfetch_saved_exportOutput"
}Community
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