This MCP server implementation provides a bridge to Biomart, a powerful bioinformatics data retrieval system. Developed by John Zinno, it enables AI assistants to perform advanced biological data queries, including gene information retrieval, ID translation, and dataset exploration. The server integrates closely with the pybiomart package, offering features like attribute and filter exploration, data retrieval, and caching for improved performance. It's designed for applications requiring access to genomic, proteomic, and other biological datasets.
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Highlight AIList available marts and datasets to explore the Biomart database structure.
View common or all available attributes and filters for specific datasets.
Query Biomart with specific attributes and filters to get biological data.
Convert between different biological identifiers (e.g., gene symbols to Ensembl IDs).
