Access multiple biomedical MCP data services through one unified endpoint.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.berntpopp/genefoundry" MCP server from askskill: Run: claude mcp add --transport http 'io-github-berntpopp-genefoundry' 'https://genefoundry.org/mcp'
Researchers analyzing genes or variants can use one endpoint to access multiple biomedical services, reducing the need to switch between separate data sources.
Developers building MCP-enabled analysis workflows can use this gateway as a single entry point to multiple backend biomedical services.
When users need to consult sources like HPO, ClinVar, or VEP together, this tool helps with cross-source querying and result aggregation.
It is an MCP gateway that federates 21 biomedical MCP servers behind a single endpoint. Known example sources include gnomAD, ClinVar, HPO, and VEP.
The provided information says it federates 21 biomedical MCP servers and explicitly names gnomAD, ClinVar, HPO, and VEP. See the source repository for the full list.
The provided material does not include installation or configuration steps. See the source repository for connection details.
Access biomedical APIs to explore genes, drugs, diseases, and clinical research.
Query variant consequences and clinical significance from a terminal with clear summaries.
Query gene variant annotations and related data for research and analysis.
Annotate whole-genome VCFs and query pharmacogenomics and disease risk in natural language.
Access biological databases for GWAS, proteins, variants, and drug discovery with AI.
Query gene-disease validity data and detect consensus or conflicts across assertions.