Biomart MCP

batch_translate

Translates multiple identifiers in a single batch operation. This function is more efficient than multiple calls to get_translation when you need to translate many identifiers at once. Args: mart (str): The mart identifier (e.g., "ENSEMBL_MART_ENSEMBL") dataset (str): The dataset identifier (e.g., "hsapiens_gene_ensembl") from_attr (str): The source attribute name (e.g., "hgnc_symbol") to_attr (str): The target attribute name (e.g., "ensembl_gene_id") targets (list[str]): List of identifier values to translate (e.g., ["TP53", "BRCA1", "BRCA2"]) Returns: dict: A dictionary containing: - translations: Dictionary mapping input IDs to translated IDs - not_found: List of IDs that could not be translated - found_count: Number of successfully translated IDs - not_found_count: Number of IDs that could not be translated Example: batch_translate("ENSEMBL_MART_ENSEMBL", "hsapiens_gene_ensembl", "hgnc_symbol", "ensembl_gene_id", ["TP53", "BRCA1", "BRCA2"]) >>> {"translations": {"TP53": "ENSG00000141510", "BRCA1": "ENSG00000012048"}, "not_found": ["BRCA2"], "found_count": 2, "not_found_count": 1}

Input Schema

NameRequiredDescriptionDefault
datasetYes
from_attrYes
martYes
targetsYes
to_attrYes

Input Schema (JSON Schema)

{ "properties": { "dataset": { "title": "Dataset", "type": "string" }, "from_attr": { "title": "From Attr", "type": "string" }, "mart": { "title": "Mart", "type": "string" }, "targets": { "items": { "type": "string" }, "title": "Targets", "type": "array" }, "to_attr": { "title": "To Attr", "type": "string" } }, "required": [ "mart", "dataset", "from_attr", "to_attr", "targets" ], "title": "batch_translateArguments", "type": "object" }