mcp/paper-search

A MCP for searching and downloading academic papers from multiple sources like arXiv, PubMed, bio...

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Paper Search MCP Server

A MCP for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

What is an MCP Server?

Characteristics

Attribute	Details
Docker Image	mcp/paper-search
Author	openags
Repository	[***]
Dockerfile	[***]
Docker Image built by	Docker Inc.
Docker Scout Health Score	!Docker Scout Health Score
Verify Signature	`COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/paper-search --key [***]`
Licence	MIT License

Available Tools (23)

Tools provided by this Server	Short Description
`download_arxiv`	Download PDF of an arXiv paper.
`download_biorxiv`	Download PDF of a bioRxiv paper.
`download_crossref`	Attempt to download PDF of a CrossRef paper.
`download_iacr`	Download PDF of an IACR ePrint paper.
`download_medrxiv`	Download PDF of a medRxiv paper.
`download_pubmed`	Attempt to download PDF of a PubMed paper.
`download_semantic`	Download PDF of a Semantic Scholar paper.
`get_crossref_paper_by_doi`	Get a specific paper from CrossRef by its DOI.
`read_arxiv_paper`	Read and extract text content from an arXiv paper PDF.
`read_biorxiv_paper`	Read and extract text content from a bioRxiv paper PDF.
`read_crossref_paper`	Attempt to read and extract text content from a CrossRef paper.
`read_iacr_paper`	Read and extract text content from an IACR ePrint paper PDF.
`read_medrxiv_paper`	Read and extract text content from a medRxiv paper PDF.
`read_pubmed_paper`	Read and extract text content from a PubMed paper.
`read_semantic_paper`	Read and extract text content from a Semantic Scholar paper.
`search_arxiv`	Search academic papers from arXiv.
`search_biorxiv`	Search academic papers from bioRxiv.
`search_crossref`	Search academic papers from CrossRef database.
`search_google_scholar`	Search academic papers from Google Scholar.
`search_iacr`	Search academic papers from IACR ePrint Archive.
`search_medrxiv`	Search academic papers from medRxiv.
`search_pubmed`	Search academic papers from PubMed.
`search_semantic`	Search academic papers from Semantic Scholar.

Tools Details

Tool: `download_arxiv`

Download PDF of an arXiv paper.

Parameters	Type	Description
`paper_id`	`string`	arXiv paper ID (e.g., '2106.***').
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `download_biorxiv`

Download PDF of a bioRxiv paper.

Parameters	Type	Description
`paper_id`	`string`	bioRxiv DOI.
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `download_crossref`

Attempt to download PDF of a CrossRef paper.

Parameters	Type	Description
`paper_id`	`string`	CrossRef DOI (e.g., '10.1038/nature***').
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `download_iacr`

Download PDF of an IACR ePrint paper.

Parameters	Type	Description
`paper_id`	`string`	IACR paper ID (e.g., '2009/101').
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `download_medrxiv`

Download PDF of a medRxiv paper.

Parameters	Type	Description
`paper_id`	`string`	medRxiv DOI.
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `download_pubmed`

Attempt to download PDF of a PubMed paper.

Parameters	Type	Description
`paper_id`	`string`	PubMed ID (PMID).
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `download_semantic`

Download PDF of a Semantic Scholar paper.

Parameters	Type	Description
`paper_id`	`string`	Semantic Scholar paper ID, Paper identifier in one of the following formats:
`save_path`	`string` optional	Directory to save the PDF (default: './downloads').

Tool: `get_crossref_paper_by_doi`

Get a specific paper from CrossRef by its DOI.

Parameters	Type	Description
`doi`	`string`	Digital Object Identifier (e.g., '10.1038/nature***').

Tool: `read_arxiv_paper`

Read and extract text content from an arXiv paper PDF.

Parameters	Type	Description
`paper_id`	`string`	arXiv paper ID (e.g., '2106.***').
`save_path`	`string` optional	Directory where the PDF is/will be saved (default: './downloads').

Tool: `read_biorxiv_paper`

Read and extract text content from a bioRxiv paper PDF.

Parameters	Type	Description
`paper_id`	`string`	bioRxiv DOI.
`save_path`	`string` optional	Directory where the PDF is/will be saved (default: './downloads').

Tool: `read_crossref_paper`

Attempt to read and extract text content from a CrossRef paper.

Parameters	Type	Description
`paper_id`	`string`	CrossRef DOI (e.g., '10.1038/nature***').
`save_path`	`string` optional	Directory where the PDF is/will be saved (default: './downloads').

Tool: `read_iacr_paper`

Read and extract text content from an IACR ePrint paper PDF.

Parameters	Type	Description
`paper_id`	`string`	IACR paper ID (e.g., '2009/101').
`save_path`	`string` optional	Directory where the PDF is/will be saved (default: './downloads').

Tool: `read_medrxiv_paper`

Read and extract text content from a medRxiv paper PDF.

Parameters	Type	Description
`paper_id`	`string`	medRxiv DOI.
`save_path`	`string` optional	Directory where the PDF is/will be saved (default: './downloads').

Tool: `read_pubmed_paper`

Read and extract text content from a PubMed paper.

Parameters	Type	Description
`paper_id`	`string`	PubMed ID (PMID).
`save_path`	`string` optional	Directory where the PDF would be saved (unused).

Tool: `read_semantic_paper`

Read and extract text content from a Semantic Scholar paper.

Parameters	Type	Description
`paper_id`	`string`	Semantic Scholar paper ID, Paper identifier in one of the following formats:
`save_path`	`string` optional	Directory where the PDF is/will be saved (default: './downloads').

Tool: `search_arxiv`

Search academic papers from arXiv.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., 'machine learning').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).

Tool: `search_biorxiv`

Search academic papers from bioRxiv.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., 'machine learning').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).

Tool: `search_crossref`

Search academic papers from CrossRef database.

CrossRef is a scholarly infrastructure organization that provides 
persistent identifiers (DOIs) for scholarly content and metadata.
It's one of the largest citation databases covering millions of 
academic papers, journals, books, and other scholarly content.

Parameters	Type	Description
`kwargs`	`string`
`query`	`string`	Search query string (e.g., 'machine learning', 'climate change').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10, max: 1000).

Tool: `search_google_scholar`

Search academic papers from Google Scholar.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., 'machine learning').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).

Tool: `search_iacr`

Search academic papers from IACR ePrint Archive.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., '***graphy', 'secret sharing').
`fetch_details`	`boolean` optional	Whether to fetch detailed information for each paper (default: True).
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).

Tool: `search_medrxiv`

Search academic papers from medRxiv.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., 'machine learning').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).

Tool: `search_pubmed`

Search academic papers from PubMed.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., 'machine learning').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).

Tool: `search_semantic`

Search academic papers from Semantic Scholar.

Parameters	Type	Description
`query`	`string`	Search query string (e.g., 'machine learning').
`max_results`	`integer` optional	Maximum number of papers to return (default: 10).
`year`	`string` optional	Optional year filter (e.g., '2019', '2016-2020', '2010-', '-2015').

Use this MCP Server

json
{
  "mcpServers": {
    "paper-search": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mcp/paper-search"
      ]
    }
  }
}

Why is it safer to run MCP Servers with Docker?

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