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kmaneesh

BioPython MCP Server

by kmaneesh

entrez_search

Search NCBI databases like PubMed, Gene, and Nucleotide using Entrez query syntax to retrieve biological data with customizable filters and sorting.

Instructions

Search any NCBI Entrez database using query syntax.

Args: database: Database to search (e.g., 'pubmed', 'nucleotide', 'gene', 'clinvar') query: Search query using Entrez syntax (see module docstring for examples) max_results: Maximum number of results to return (default: 20, max: 10000) sort: Sort order - 'relevance', 'pub_date', 'Author', etc. (default: 'relevance') use_cache: Whether to use cached results (default: True, TTL: 1 hour)

Returns: Dictionary containing: - ids: List of matching record IDs - count: Number of IDs returned - total_found: Total number of matches in database - query: Original query string - database: Database searched - cached: Whether result was from cache (if use_cache=True)

Examples: >>> entrez_search("pubmed", "BRCA1 AND breast cancer", max_results=10) >>> entrez_search("gene", "BRCA1[Gene Name] AND Homo sapiens[Organism]") >>> entrez_search("nucleotide", "Homo sapiens[Organism]", max_results=5) >>> entrez_search("clinvar", "BRCA1[Gene] AND Pathogenic[Clinical Significance]")

Notes: - Uses NCBI Entrez query syntax with field tags and Boolean operators - Rate limited to 3 req/sec (or 10 req/sec with API key) - See module docstring for comprehensive query syntax examples - Cached results have 1 hour TTL to balance freshness and API usage

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYes
queryYes
max_resultsNo
sortNorelevance
use_cacheNo

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