scholarfetch_article_text

Active

declared in 1.12.4

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.

Parameters schema

{
  "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
    }
  }
}

What this tool wraps· 2 endpoints

min confidence0.70 0.50

Parent server

ScholarFetch

https://github.com/laibniz/scholarfetch

1/7 registries

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