Academic Research

Search

Deep Research compatible search tool aggregating across sources.

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Fetch

fetch

Fetch full document content for a search result.

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Search Arxiv

search_arxiv

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.

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Search Pubmed

search_pubmed

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.

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Search Biorxiv

search_biorxiv

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.

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Search Medrxiv

search_medrxiv

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.

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Search Google Scholar

search_google_scholar

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.

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Search Iacr

search_iacr

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.

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Download Arxiv

download_arxiv

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.

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Download Pubmed

download_pubmed

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.

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Download Biorxiv

download_biorxiv

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.

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Download Medrxiv

download_medrxiv

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.

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Download Iacr

download_iacr

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.

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Read Arxiv Paper

read_arxiv_paper

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.

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Read Pubmed Paper

read_pubmed_paper

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.

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Read Biorxiv Paper

read_biorxiv_paper

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.

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Read Medrxiv Paper

read_medrxiv_paper

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.

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Read Iacr Paper

read_iacr_paper

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.

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Search Semantic

search_semantic

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.

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Download Semantic

download_semantic

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.

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Read Semantic Paper

read_semantic_paper

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.

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Search Crossref

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. 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")

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get_crossref_paper_by_doi

Get Crossref Paper By Doi

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")

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Download Crossref

download_crossref

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.

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Read Crossref Paper

read_crossref_paper

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.

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Papers Search Basic

papers-search-basic

Search for academic papers with a simple query.

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Paper Search Advanced

paper-search-advanced

Search for academic papers with advanced filtering options

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Search Paper Title

search-paper-title

Find a paper by closest title match

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Get Paper Abstract

get-paper-abstract

Get detailed information about a specific paper including its abstract

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Papers Citations

papers-citations

Get papers that cite a specific paper

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Papers References

papers-references

Get papers cited by a specific paper

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Authors Search

authors-search

Search for authors by name or affiliation

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Authors Papers

authors-papers

Get papers written by a specific author

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Papers Batch

papers-batch

Look up multiple papers by their IDs

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Search Arxiv

search-arxiv

Search for papers on arXiv using their API

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download-full-paper-arxiv

Download Full Paper Arxiv

Download full-text PDF of an arXiv paper and extract text content (memory only)

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analysis-citation-network

Analysis Citation Network

Analyze the citation network for a specific paper

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Google Scholar

Search Google Scholar

search_google_scholar

Search Google Scholar for academic papers and research articles. Supports filtering by author, publication year range, and returns structured results with titles, authors, abstracts, and URLs.

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Nanci Literature

About Nanci

about_nanci

Get information about NanciMCP's capabilities for literature review

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Nanci Literature

Search Papers

search_papers

Search for research papers using the research API

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Nanci Literature

Get Paper Details

get_paper_details

Get detailed information about a specific research paper

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search_trials_by_condition

Search Trials By Condition

Search clinical trials by medical condition(s). This tool allows you to search for clinical trials based on a list of medical conditions. Input: - `conditions`: A list of strings, where each string is a medical condition to search for. The search will find trials related to any of the specified conditions. Example: `['cancer', 'diabetes']` - `max_studies`: The maximum number of studies to return. Defaults to 50. - `fields`: A list of specific fields to return in the results. If not provided, returns SEARCH_TOOL_DEFAULTS (9 essential fields: NCTId, BriefTitle, Acronym, Condition, Phase, InterventionName, LeadSponsorName, OverallStatus, HasResults).

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search_trials_by_intervention

Search Trials By Intervention

Search clinical trials by intervention/treatment. This tool allows you to search for clinical trials based on a list of interventions or treatments. Input: - `interventions`: A list of strings, where each string is an intervention or treatment to search for. The search will find trials related to any of the specified interventions. Example: `['aspirin', 'chemotherapy']` - `max_studies`: The maximum number of studies to return. Defaults to 50. - `fields`: A list of specific fields to return in the results. If not provided, returns SEARCH_TOOL_DEFAULTS (9 essential fields: NCTId, BriefTitle, Acronym, Condition, Phase, InterventionName, LeadSponsorName, OverallStatus, HasResults).

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Search Trials By Sponsor

search_trials_by_sponsor

Search clinical trials by sponsor/organization. This tool allows you to search for clinical trials based on a list of sponsor organizations. Input: - `sponsors`: A list of strings, where each string is a sponsor organization to search for. The search will find trials sponsored by any of the specified organizations. Example: `['National Cancer Institute', 'Pfizer']` - `max_studies`: The maximum number of studies to return. Defaults to 50. - `fields`: A list of specific fields to return in the results. If not provided, returns SEARCH_TOOL_DEFAULTS (9 essential fields: NCTId, BriefTitle, Acronym, Condition, Phase, InterventionName, LeadSponsorName, OverallStatus, HasResults).

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Search Trials By Acronym

search_trials_by_acronym

Search clinical trials by study acronym. Uses the Acronym field (protocolSection.identificationModule.acronym) to find trials by their public short name. Example: 'TETON'. The API search is seeded with the provided acronyms to narrow results, then results are filtered locally to ensure the acronym field matches the requested value(s). Input: - `acronyms`: One or more acronyms to search for (e.g., ['TETON']). - `max_studies`: Maximum number of studies to request from the API. - `exact_match`: When true (default), matches acronyms exactly (case-insensitive). When false, matches if any provided acronym is contained within the study acronym (case-insensitive partial match). - `fields`: A list of specific fields to return in the results. If not provided, returns ACRONYM_SEARCH_DEFAULTS (8 fields optimized for acronym discovery: NCTId, BriefTitle, Acronym, Condition, InterventionName, Phase, LeadSponsorName, HasResults).

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Search Trials By Nct Ids

search_trials_by_nct_ids

Retrieve specific clinical trials by NCT ID(s). This tool allows you to retrieve the details of specific clinical trials by providing their NCT IDs. Input: - `nct_ids`: A list of strings, where each string is an NCT ID to retrieve. Example: `['NCT04280705', 'NCT04280718']` - `fields`: A list of specific fields to return in the results. If not provided, returns SEARCH_TOOL_DEFAULTS (9 essential fields: NCTId, BriefTitle, Acronym, Condition, Phase, InterventionName, LeadSponsorName, OverallStatus, HasResults).

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Search Trials Combined

search_trials_combined

Search clinical trials using multiple criteria. This tool allows you to perform a combined search using multiple criteria such as conditions, interventions, sponsors, and general terms. Input: - `conditions`: A list of medical conditions to search for. - `interventions`: A list of interventions or treatments to search for. - `sponsors`: A list of sponsor organizations to search for. - `terms`: A list of general search terms. - `nct_ids`: A list of specific NCT IDs to include in the search. - `max_studies`: The maximum number of studies to return. Defaults to 50. - `fields`: A list of specific fields to return in the results. If not provided, returns SEARCH_TOOL_DEFAULTS (9 essential fields: NCTId, BriefTitle, Acronym, Condition, Phase, InterventionName, LeadSponsorName, OverallStatus, HasResults).

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Get Trial Details

get_trial_details

Get comprehensive details for a single clinical trial. This tool retrieves detailed information for a single clinical trial given its NCT ID. Input: - `nct_id`: The NCT ID of the trial to retrieve. Example: `'NCT04280705'` - `fields`: A list of specific fields to return. If not provided, returns DETAIL_TOOL_DEFAULTS (25 comprehensive fields covering: NCTId, BriefTitle, OfficialTitle, Acronym, Condition, Keyword, Phase, OverallStatus, InterventionType, InterventionName, InterventionDescription, ArmGroupLabel, ArmGroupType, ArmGroupDescription, EligibilityCriteria, MinimumAge, MaximumAge, Sex, PrimaryOutcomeMeasure, SecondaryOutcomeMeasure, BriefSummary, LocationFacility, LocationCountry, LeadSponsorName, CollaboratorName, HasResults).

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get_trial_details_batched

Get Trial Details Batched

Retrieve detailed clinical trial records in batches to reduce payload during discovery. Accepts a list of NCT IDs and fetches details in batches (default 10). Preserves the order of input NCT IDs in the returned list. Use this after search tools which return a minimal field set. Input: - `nct_ids`: List of NCT IDs to retrieve in batches. - `fields`: Specific fields to return. If not provided, returns DETAIL_TOOL_DEFAULTS (25 comprehensive fields covering: NCTId, BriefTitle, OfficialTitle, Acronym, Condition, Keyword, Phase, OverallStatus, InterventionType, InterventionName, InterventionDescription, ArmGroupLabel, ArmGroupType, ArmGroupDescription, EligibilityCriteria, MinimumAge, MaximumAge, Sex, PrimaryOutcomeMeasure, SecondaryOutcomeMeasure, BriefSummary, LocationFacility, LocationCountry, LeadSponsorName, CollaboratorName, HasResults). - `batch_size`: Number of trials to fetch per API call (default 10).

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Analyze Trial Phases

analyze_trial_phases

Analyze the distribution of trial phases for given search criteria. This tool analyzes the distribution of clinical trial phases (e.g., Phase 1, Phase 2, Phase 3) for a given set of search criteria. Input: - `conditions`: A list of medical conditions to filter the analysis. - `interventions`: A list of interventions to filter the analysis. - `sponsors`: A list of sponsors to filter the analysis. - `max_studies`: The maximum number of studies to include in the analysis. Defaults to 1000.

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Get Field Statistics

get_field_statistics

Get statistical information about field values. This tool retrieves statistical information about the values of specified fields in the ClinicalTrials.gov database. Input: - `field_names`: A list of field names to get statistics for. - `field_types`: A list of field types to filter by. Example: `['ENUM', 'STRING']`

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Get Available Fields

get_available_fields

Get organized list of available fields for customizing search results. This tool provides a list of available fields that can be used to customize the results of other search tools. The fields are organized into categories. Input: - `category`: An optional string to specify a category of fields to return. If not provided, all categories and default fields will be returned. Example: `'conditions'`

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