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Annotate whole-genome VCFs and query pharmacogenomics and disease risk in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "GeneChat MCP Server" yet — see the docs or source repo.
Analyze the pharmacogenomic variants in this VCF and tell me which gene variants may affect drug metabolism, then summarize the high-risk findings by drug class.
A list of drug-metabolism-related variants, impact notes, and a risk summary grouped by drug class.
Using this whole-genome VCF, find high-impact variants linked to common inherited diseases and explain the potential risks and evidence in plain language.
A report of high-impact disease-related variants, associated conditions, risk levels, and plain-language evidence interpretation.
Check this VCF for carrier status related to recessive disorders, and list any pathogenic or likely pathogenic variants with the related genes and diseases.
Carrier screening results including pathogenic variant findings, related genes, disease names, and brief explanations.
Query gene-disease validity data and detect consensus or conflicts across assertions.
Query GlyGen summaries for proteins, glycans, sites, biomarkers, and diseases.
Search, retrieve, and create genealogy records in a Gramps Web instance.
Use natural language to import, analyze, and audit Gigwa genotyping data.
Search ChEMBL bioactivity data and compound properties from Claude or ChatGPT.
Query gene variant annotations and related data for research and analysis.