Hosted MCP server · #5 most used on Smithery
Paper Search
adamamer20/paper-search-mcp-openai
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, and IACR. Fetch PDFs and extract full text to accelerate literature reviews. Get consistent metadata for easier filtering, citation, and analysis.
- Uses
- 59k
- Tools
- 25
- Runs
- Hosted
- Listed
- 1.1y ago
Get started
Add it to your agent
npx -y @smithery/cli@latest install adamamer20/paper-search-mcp-openai --client claudeSwap --client claude for cursor, vscode, windsurf or another client. The CLI asks for any required settings.
claude mcp add --transport http paper-search https://server.smithery.ai/adamamer20/paper-search-mcp-openai/mcpA hosted server: nothing to install. Run /mcp in Claude Code to sign in if it asks.
[mcp_servers.paper-search]
url = "https://server.smithery.ai/adamamer20/paper-search-mcp-openai/mcp"Add to ~/.codex/config.toml.
{
"mcpServers": {
"paper-search": {
"url": "https://server.smithery.ai/adamamer20/paper-search-mcp-openai/mcp"
}
}
}Add to ~/.cursor/mcp.json.
{
"servers": {
"paper-search": {
"type": "http",
"url": "https://server.smithery.ai/adamamer20/paper-search-mcp-openai/mcp"
}
}
}Add to .vscode/mcp.json.
gemini mcp add --transport http paper-search https://server.smithery.ai/adamamer20/paper-search-mcp-openai/mcpSaved to .gemini/settings.json.
What it can do
25 tools
search2 paramsDeep Research compatible search tool aggregating across sources.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer |
fetch2 paramsFetch full document content for a search result.
| Parameter | Type | Description |
|---|---|---|
id | ||
document_id |
search_arxiv2 paramsSearch academic papers from arXiv. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers to …
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.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer |
search_pubmed2 paramsSearch academic papers from PubMed. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers to…
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.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer |
search_biorxiv2 paramsSearch academic papers from bioRxiv. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers t…
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.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer |
search_medrxiv2 paramsSearch academic papers from medRxiv. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers t…
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.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer |
search_google_scholar2 paramsSearch academic papers from Google Scholar. Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of p…
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.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer |
search_iacr3 paramsSearch academic papers from IACR ePrint Archive. Args: query: Search query string (e.g., 'cryptography', 'secret sharing'). max_results: …
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.
| Parameter | Type | Description |
|---|---|---|
query | string | |
max_results | integer | |
fetch_details | boolean |
download_arxiv2 paramsDownload PDF of an arXiv paper. Args: paper_id: arXiv paper ID (e.g., '2106.12345'). save_path: Directory to save the PDF (default: './do…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
download_pubmed2 paramsAttempt to download PDF of a PubMed paper. Args: paper_id: PubMed ID (PMID). save_path: Directory to save the PDF (default: './downloads'…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
download_biorxiv2 paramsDownload PDF of a bioRxiv paper. Args: paper_id: bioRxiv DOI. save_path: Directory to save the PDF (default: './downloads'). Returns: Pat…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
download_medrxiv2 paramsDownload PDF of a medRxiv paper. Args: paper_id: medRxiv DOI. save_path: Directory to save the PDF (default: './downloads'). Returns: Pat…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
download_iacr2 paramsDownload PDF of an IACR ePrint paper. Args: paper_id: IACR paper ID (e.g., '2009/101'). save_path: Directory to save the PDF (default: '.…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_arxiv_paper2 paramsRead and extract text content from an arXiv paper PDF. Args: paper_id: arXiv paper ID (e.g., '2106.12345'). save_path: Directory where th…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_pubmed_paper2 paramsRead and extract text content from a PubMed paper. Args: paper_id: PubMed ID (PMID). save_path: Directory where the PDF would be saved (u…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_biorxiv_paper2 paramsRead and extract text content from a bioRxiv paper PDF. Args: paper_id: bioRxiv DOI. save_path: Directory where the PDF is/will be saved …
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_medrxiv_paper2 paramsRead and extract text content from a medRxiv paper PDF. Args: paper_id: medRxiv DOI. save_path: Directory where the PDF is/will be saved …
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_iacr_paper2 paramsRead and extract text content from an IACR ePrint paper PDF. Args: paper_id: IACR paper ID (e.g., '2009/101'). save_path: Directory where…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
search_semantic3 paramsSearch academic papers from Semantic Scholar. Args: query: Search query string (e.g., 'machine learning'). year: Optional year filter (e.…
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.
| Parameter | Type | Description |
|---|---|---|
year | ||
query | string | |
max_results | integer |
download_semantic2 paramsDownload PDF of a Semantic Scholar paper. Args: paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats: - …
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") sa
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_semantic_paper2 paramsRead and extract text content from a Semantic Scholar paper. Args: paper_id: Semantic Scholar paper ID, Paper identifier in one of the fo…
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/ab
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
search_crossref3 paramsSearch academic papers from CrossRef database. CrossRef is a scholarly infrastructure organization that provides persistent identifiers (…
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: -
| Parameter | Type | Description |
|---|---|---|
query | string | |
kwargs | string | |
max_results | integer |
get_crossref_paper_by_doi1 paramGet a specific paper from CrossRef by its DOI. Args: doi: Digital Object Identifier (e.g., '10.1038/nature12373'). Returns: Paper metadat…
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")
| Parameter | Type | Description |
|---|---|---|
doi | string |
download_crossref2 paramsAttempt to download PDF of a CrossRef paper. Args: paper_id: CrossRef DOI (e.g., '10.1038/nature12373'). save_path: Directory to save the…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |
read_crossref_paper2 paramsAttempt to read and extract text content from a CrossRef paper. Args: paper_id: CrossRef DOI (e.g., '10.1038/nature12373'). save_path: Di…
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.
| Parameter | Type | Description |
|---|---|---|
paper_id | string | |
save_path | string |