Server Details
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic…
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- adamamer20/paper-search-mcp-openai
- GitHub Stars
- 8
- Server Listing
- Paper Search MCP
Available Tools
25 toolsdownload_arxivTry in Inspector
Download PDF of an arXiv paper.
Args:
paper_id: arXiv paper ID (e.g., '2106.12345').
save_path: Directory to save the PDF (default: './downloads').
Returns:
Path to the downloaded PDF file.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
download_biorxivTry in Inspector
Download PDF of a bioRxiv paper.
Args:
paper_id: bioRxiv DOI.
save_path: Directory to save the PDF (default: './downloads').
Returns:
Path to the downloaded PDF file.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
download_crossrefTry in Inspector
Attempt to download PDF of a CrossRef paper.
Args:
paper_id: CrossRef DOI (e.g., '10.1038/nature12373').
save_path: Directory to save the PDF (default: './downloads').
Returns:
str: Message indicating that direct PDF download is not supported.
Note:
CrossRef is a citation database and doesn't provide direct PDF downloads.
Use the DOI to access the paper through the publisher's website.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
download_iacrTry in Inspector
Download PDF of an IACR ePrint paper.
Args:
paper_id: IACR paper ID (e.g., '2009/101').
save_path: Directory to save the PDF (default: './downloads').
Returns:
Path to the downloaded PDF file.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
download_medrxivTry in Inspector
Download PDF of a medRxiv paper.
Args:
paper_id: medRxiv DOI.
save_path: Directory to save the PDF (default: './downloads').
Returns:
Path to the downloaded PDF file.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
download_pubmedTry in Inspector
Attempt to download PDF of a PubMed paper.
Args:
paper_id: PubMed ID (PMID).
save_path: Directory to save the PDF (default: './downloads').
Returns:
str: Message indicating that direct PDF download is not supported.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
download_semanticTry in Inspector
Download PDF of a Semantic Scholar paper.
Args:
paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats:
- Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b")
- DOI:<doi> (e.g., "DOI:10.18653/v1/N18-3011")
- ARXIV:<id> (e.g., "ARXIV:2106.15928")
- MAG:<id> (e.g., "MAG:112218234")
- ACL:<id> (e.g., "ACL:W12-3903")
- PMID:<id> (e.g., "PMID:19872477")
- PMCID:<id> (e.g., "PMCID:2323736")
- URL:<url> (e.g., "URL:https://arxiv.org/abs/2106.15928v1")
save_path: Directory to save the PDF (default: './downloads').
Returns:
Path to the downloaded PDF file.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
fetchTry in Inspector
Fetch full document content for a search result.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| document_id | No |
get_crossref_paper_by_doiTry in Inspector
Get a specific paper from CrossRef by its DOI.
Args:
doi: Digital Object Identifier (e.g., '10.1038/nature12373').
Returns:
Paper metadata in dictionary format, or empty dict if not found.
Example:
get_crossref_paper_by_doi("10.1038/nature12373")
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| doi | Yes |
read_arxiv_paperTry in Inspector
Read and extract text content from an arXiv paper PDF.
Args:
paper_id: arXiv paper ID (e.g., '2106.12345').
save_path: Directory where the PDF is/will be saved (default: './downloads').
Returns:
str: The extracted text content of the paper.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
read_biorxiv_paperTry in Inspector
Read and extract text content from a bioRxiv paper PDF.
Args:
paper_id: bioRxiv DOI.
save_path: Directory where the PDF is/will be saved (default: './downloads').
Returns:
str: The extracted text content of the paper.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
read_crossref_paperTry in Inspector
Attempt to read and extract text content from a CrossRef paper.
Args:
paper_id: CrossRef DOI (e.g., '10.1038/nature12373').
save_path: Directory where the PDF is/will be saved (default: './downloads').
Returns:
str: Message indicating that direct paper reading is not supported.
Note:
CrossRef is a citation database and doesn't provide direct paper content.
Use the DOI to access the paper through the publisher's website.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
read_iacr_paperTry in Inspector
Read and extract text content from an IACR ePrint paper PDF.
Args:
paper_id: IACR paper ID (e.g., '2009/101').
save_path: Directory where the PDF is/will be saved (default: './downloads').
Returns:
str: The extracted text content of the paper.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
read_medrxiv_paperTry in Inspector
Read and extract text content from a medRxiv paper PDF.
Args:
paper_id: medRxiv DOI.
save_path: Directory where the PDF is/will be saved (default: './downloads').
Returns:
str: The extracted text content of the paper.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
read_pubmed_paperTry in Inspector
Read and extract text content from a PubMed paper.
Args:
paper_id: PubMed ID (PMID).
save_path: Directory where the PDF would be saved (unused).
Returns:
str: Message indicating that direct paper reading is not supported.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
read_semantic_paperTry in Inspector
Read and extract text content from a Semantic Scholar paper.
Args:
paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats:
- Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b")
- DOI:<doi> (e.g., "DOI:10.18653/v1/N18-3011")
- ARXIV:<id> (e.g., "ARXIV:2106.15928")
- MAG:<id> (e.g., "MAG:112218234")
- ACL:<id> (e.g., "ACL:W12-3903")
- PMID:<id> (e.g., "PMID:19872477")
- PMCID:<id> (e.g., "PMCID:2323736")
- URL:<url> (e.g., "URL:https://arxiv.org/abs/2106.15928v1")
save_path: Directory where the PDF is/will be saved (default: './downloads').
Returns:
str: The extracted text content of the paper.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes | ||
| save_path | No | ./downloads |
searchTry in Inspector
Deep Research compatible search tool aggregating across sources.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No |
search_arxivTry in Inspector
Search academic papers from arXiv.
Args:
query: Search query string (e.g., 'machine learning').
max_results: Maximum number of papers to return (default: 10).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No |
search_biorxivTry in Inspector
Search academic papers from bioRxiv.
Args:
query: Search query string (e.g., 'machine learning').
max_results: Maximum number of papers to return (default: 10).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No |
search_crossrefTry in Inspector
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.
Args:
query: Search query string (e.g., 'machine learning', 'climate change').
max_results: Maximum number of papers to return (default: 10, max: 1000).
**kwargs: Additional search parameters:
- filter: CrossRef filter string (e.g., 'has-full-text:true,from-pub-date:2020')
- sort: Sort field ('relevance', 'published', 'updated', 'deposited', etc.)
- order: Sort order ('asc' or 'desc')
Returns:
List of paper metadata in dictionary format.
Examples:
# Basic search
search_crossref("deep learning", 20)
# Search with filters
search_crossref("climate change", 10, filter="from-pub-date:2020,has-full-text:true")
# Search sorted by publication date
search_crossref("neural networks", 15, sort="published", order="desc")
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| kwargs | Yes | ||
| max_results | No |
search_google_scholarTry in Inspector
Search academic papers from Google Scholar.
Args:
query: Search query string (e.g., 'machine learning').
max_results: Maximum number of papers to return (default: 10).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No |
search_iacrTry in Inspector
Search academic papers from IACR ePrint Archive.
Args:
query: Search query string (e.g., 'cryptography', 'secret sharing').
max_results: Maximum number of papers to return (default: 10).
fetch_details: Whether to fetch detailed information for each paper (default: True).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No | ||
| fetch_details | No |
search_medrxivTry in Inspector
Search academic papers from medRxiv.
Args:
query: Search query string (e.g., 'machine learning').
max_results: Maximum number of papers to return (default: 10).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No |
search_pubmedTry in Inspector
Search academic papers from PubMed.
Args:
query: Search query string (e.g., 'machine learning').
max_results: Maximum number of papers to return (default: 10).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| max_results | No |
search_semanticTry in Inspector
Search academic papers from Semantic Scholar.
Args:
query: Search query string (e.g., 'machine learning').
year: Optional year filter (e.g., '2019', '2016-2020', '2010-', '-2015').
max_results: Maximum number of papers to return (default: 10).
Returns:
List of paper metadata in dictionary format.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| year | No | ||
| query | Yes | ||
| max_results | No |
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