Multi-engine scholarly research server for search, traversal, full text, and reading lists.
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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.
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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.
| Argument | Type | Description |
|---|---|---|
| doi | any | |
| engines | string | |
| author_name | any | |
| paper_index | integer | |
| candidate_index | integer |
{
"type": "object",
"title": "scholarfetch_abstractArguments",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Doi",
"default": null
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Name",
"default": null
},
"paper_index": {
"type": "integer",
"title": "Paper Index",
"default": 1
},
"candidate_index": {
"type": "integer",
"title": "Candidate Index",
"default": 1
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| doi | any | |
| engines | string | |
| author_name | any | |
| paper_index | integer | |
| candidate_index | integer |
{
"type": "object",
"title": "scholarfetch_article_textArguments",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Doi",
"default": null
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Name",
"default": null
},
"paper_index": {
"type": "integer",
"title": "Paper Index",
"default": 1
},
"candidate_index": {
"type": "integer",
"title": "Candidate Index",
"default": 1
}
}
}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`.
| Argument | Type | Description |
|---|---|---|
| name* | string | |
| limit | integer | |
| engines | string |
{
"type": "object",
"title": "scholarfetch_author_candidatesArguments",
"required": [
"name"
],
"properties": {
"name": {
"type": "string",
"title": "Name"
},
"limit": {
"type": "integer",
"title": "Limit",
"default": 10
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
}
}
}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`.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| engines | string | |
| filters | string | |
| author_id | any | |
| author_name | any | |
| candidate_index | integer |
{
"type": "object",
"title": "scholarfetch_author_papersArguments",
"properties": {
"limit": {
"type": "integer",
"title": "Limit",
"default": 50
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"filters": {
"type": "string",
"title": "Filters",
"default": ""
},
"author_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Id",
"default": null
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Name",
"default": null
},
"candidate_index": {
"type": "integer",
"title": "Candidate Index",
"default": 1
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| doi* | string | |
| engines | string |
{
"type": "object",
"title": "scholarfetch_doi_lookupArguments",
"required": [
"doi"
],
"properties": {
"doi": {
"type": "string",
"title": "Doi"
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| doi | any | |
| engines | string | |
| author_name | any | |
| paper_index | integer | |
| candidate_index | integer |
{
"type": "object",
"title": "scholarfetch_referencesArguments",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Doi",
"default": null
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Name",
"default": null
},
"paper_index": {
"type": "integer",
"title": "Paper Index",
"default": 1
},
"candidate_index": {
"type": "integer",
"title": "Candidate Index",
"default": 1
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| doi | any | |
| query | any | |
| engines | string | |
| collection | string | |
| paper_json | any | |
| author_name | any | |
| paper_index | integer | |
| result_index | integer | |
| candidate_index | integer |
{
"type": "object",
"title": "scholarfetch_saved_addArguments",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Doi",
"default": null
},
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Query",
"default": null
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"collection": {
"type": "string",
"title": "Collection",
"default": "default"
},
"paper_json": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Paper Json",
"default": null
},
"author_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Author Name",
"default": null
},
"paper_index": {
"type": "integer",
"title": "Paper Index",
"default": 1
},
"result_index": {
"type": "integer",
"title": "Result Index",
"default": 1
},
"candidate_index": {
"type": "integer",
"title": "Candidate Index",
"default": 1
}
}
}Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
| Argument | Type | Description |
|---|---|---|
| collection | string |
{
"type": "object",
"title": "scholarfetch_saved_clearArguments",
"properties": {
"collection": {
"type": "string",
"title": "Collection",
"default": "default"
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| style | string | |
| format | string | |
| engines | string | |
| collection | string | |
| include_references | boolean |
{
"type": "object",
"title": "scholarfetch_saved_exportArguments",
"properties": {
"style": {
"type": "string",
"title": "Style",
"default": "harvard"
},
"format": {
"type": "string",
"title": "Format",
"default": "citations"
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
},
"collection": {
"type": "string",
"title": "Collection",
"default": "default"
},
"include_references": {
"type": "boolean",
"title": "Include References",
"default": false
}
}
}List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items.
| Argument | Type | Description |
|---|---|---|
| collection | string |
{
"type": "object",
"title": "scholarfetch_saved_listArguments",
"properties": {
"collection": {
"type": "string",
"title": "Collection",
"default": "default"
}
}
}Remove one paper from a named in-memory reading list by DOI or exact title.
| Argument | Type | Description |
|---|---|---|
| doi | any | |
| title | any | |
| collection | string |
{
"type": "object",
"title": "scholarfetch_saved_removeArguments",
"properties": {
"doi": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Doi",
"default": null
},
"title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Title",
"default": null
},
"collection": {
"type": "string",
"title": "Collection",
"default": "default"
}
}
}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.
| Argument | Type | Description |
|---|---|---|
| limit | integer | |
| query* | string | |
| engines | string |
{
"type": "object",
"title": "scholarfetch_searchArguments",
"required": [
"query"
],
"properties": {
"limit": {
"type": "integer",
"title": "Limit",
"default": 20
},
"query": {
"type": "string",
"title": "Query"
},
"engines": {
"type": "string",
"title": "Engines",
"default": ""
}
}
}