Search Europe PMC for papers without saving results to a file.

This function wraps the _search_europepmc_papers function and disables file saving. It retrieves metadata about papers matching the given keywords.

Args: keywords (str): The search query string containing keywords to look for. max_results (int, optional): The maximum number of results to return. Defaults to 10. result_type (str, optional): The type of results to retrieve. Options include "lite" (basic metadata) and "core" (detailed metadata). Defaults to "lite".

Returns: list[dict]: A list of dictionaries, where each dictionary contains metadata about a paper matching the search query.

Example: >>> results = search_europepmc_papers("machine learning", max_results=5) >>> for paper in results: ... print(paper["title"])

MCP wrapper - Get Europe PMC paper metadata without file saving.

MCP wrapper - Get all identifiers without file saving.

MCP wrapper - Get full text without file saving.

MCP wrapper - Convert PDF to Markdown without file saving.

Gets Supplemental Material for a PubMed Central Open Access article.

Supports multiple PubMed Central ID in the following input formats:

• Prefixed: PMC12345678

• Numeric: 12345678

• Prefixed with colon: PMC:12345678

Args: pmcid: PubMed Central ID in any supported format idx: The file index to retrieve offset: Character offset to start from (default: 0) limit: Maximum number of characters to return (default: None for all)

Returns: A Supplemental Material file content, optionally windowed.

Examples: >>> get_pmc_supplemental_material("PMC12345678", 1) 'Supplementary Material...' >>> get_pmc_supplemental_material("PMC:12345678", 1, offset=100, limit=500) 'Supplementary Material...'