en es ja ko zh

Academic Paper Search MCP Server

by afrise

Verified

Python

AGPL 3.0

Reddit Discord

Overview InspectNew Schema Related Servers Reviews Score

Need Help?View Source Code Report Issue

fetch_paper_details

Retrieve comprehensive metadata for academic papers by specifying a paper identifier (DOI or ID) and source database (Semantic Scholar or Crossref). Supports structured data integration for AI-driven research tools.

Instructions

Get detailed information about a specific paper.

Args:
    paper_id: Paper identifier (DOI for Crossref, paper ID for Semantic Scholar)
    source: Source database ("semantic_scholar" or "crossref")

Input Schema

Name	Required	Description	Default
`paper_id`	Yes
`source`	No		semantic_scholar

Input Schema (JSON Schema)

{
  "properties": {
    "paper_id": {
      "title": "Paper Id",
      "type": "string"
    },
    "source": {
      "default": "semantic_scholar",
      "title": "Source",
      "type": "string"
    }
  },
  "required": [
    "paper_id"
  ],
  "title": "fetch_paper_detailsArguments",
  "type": "object"
}

You must be authenticated.

Other Tools from Academic Paper Search MCP Server

Related Tools

search_papers
@afrise/academic-search-mcp-server
download_paper
@blazickjp/arxiv-mcp-server
paper_detail
@renyumeng1/mcp_scholar
get_paper_details
@doomdagadiggiedahdah/iacr-mcp-server
paper_references
@renyumeng1/mcp_scholar

ID: kzsu1zzz9j