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💡 Description
An asynchronous high-performance Model Context Protocol (MCP) server that enables AI assistants to interact with cancer genomic data from cBioPortal, a platform for exploring multidimensional genomic datasets.
📝 JSON Entries
{
"mcpServers": [
{
"cbioportal": {
"env": {},
"args": [
"/Users/jeffkiefer/Documents/projects/cbioportal_MCP/cbioportal_server.py"
],
"command": "/Users/jeffkiefer/Documents/projects/cbioportal_MCP/.venv/bin/python3"
}
}
]
}🛠️ Tools
get_cancer_studiesget_cancer_typesget_study_detailsget_samples_in_studyget_genessearch_genesget_mutations_in_geneget_clinical_dataget_molecular_profilessearch_studiesget_multiple_studiesget_multiple_genes
⚡ Features
- Search and explore cancer studies available in cBioPortal
- Access genetic mutations, clinical data, and molecular profiles
- Utilize keyword search capabilities for studies, genes, and samples
- Fast asynchronous performance for data retrieval
- Bulk operations for retrieving multiple studies and genes
💬 Example Queries
- What cancer studies are available in cBioPortal?
- Search for melanoma studies in cBioPortal
- Get information about the BRCA1 gene
- What mutations in TP53 are present in breast cancer studies?
- Find studies related to lung cancer
- Get clinical data for patients in the TCGA breast cancer study