ScholarFetch

Server Details

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

Status: Healthy
Last Tested: 2026-03-27 13:30
Transport: Streamable HTTP
URL
Repository: laibniz/scholarfetch
GitHub Stars: 0

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Available Tools

12 tools

scholarfetch_abstractInspect

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.

ParametersJSON Schema

Name	Required	Description	Default
`doi`	No
`engines`	No
`author_name`	No
`paper_index`	No
`candidate_index`	No

scholarfetch_article_textInspect

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.

ParametersJSON Schema

Name	Required	Description	Default
`doi`	No
`engines`	No
`author_name`	No
`paper_index`	No
`candidate_index`	No

scholarfetch_author_candidatesInspect

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.

ParametersJSON Schema

Name	Required	Description	Default
`name`	Yes
`limit`	No
`engines`	No

scholarfetch_author_papersInspect

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:, title:, doi:. If you pass engines, it must include openalex.

ParametersJSON Schema

Name	Required	Description	Default
`limit`	No
`engines`	No
`filters`	No
`author_id`	No
`author_name`	No
`candidate_index`	No

scholarfetch_doi_lookupInspect

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.

ParametersJSON Schema

Name	Required	Description	Default
`doi`	Yes
`engines`	No

scholarfetch_referencesInspect

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.

ParametersJSON Schema

Name	Required	Description	Default
`doi`	No
`engines`	No
`author_name`	No
`paper_index`	No
`candidate_index`	No

scholarfetch_saved_addInspect

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.

ParametersJSON Schema

Name	Required	Default
`doi`	No
`query`	No
`engines`	No
`collection`	No	default
`paper_json`	No
`author_name`	No
`paper_index`	No
`result_index`	No
`candidate_index`	No

scholarfetch_saved_clearInspect

Clear all papers from a named in-memory reading list. Useful when restarting a research branch.

ParametersJSON Schema

Name	Required	Description	Default
`collection`	No		default

scholarfetch_saved_exportInspect

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.

ParametersJSON Schema

Name	Required	Default
`style`	No	harvard
`format`	No	citations
`engines`	No
`collection`	No	default
`include_references`	No

scholarfetch_saved_listInspect

List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items.

ParametersJSON Schema

Name	Required	Description	Default
`collection`	No		default

scholarfetch_saved_removeInspect

Remove one paper from a named in-memory reading list by DOI or exact title.

ParametersJSON Schema

Name	Required	Default
`doi`	No
`title`	No
`collection`	No	default

scholarfetch_searchInspect

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.

ParametersJSON Schema

Name	Required	Description	Default
`limit`	No
`query`	Yes
`engines`	No

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Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:

{
  "$schema": "https://glama.ai/mcp/schemas/connector.json",
  "maintainers": [
    {
      "email": "your-email@example.com"
    }
  ]
}

The email address must match the email associated with your Glama account. Once verified, the connector will appear as claimed by you.

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