Parse raw DNA data. Supports: 23andMe (.txt), Genera (.csv). CRITICAL: Genome files are 15-25MB (600k+ lines). NEVER read, inline, or chunk genome file contents — this WILL exceed your context window and crash the session. For REMOTE server (mcp.openpgx.ai): use get_upload_command to get a curl/python command, execute it in your code execution sandbox (or tell the user to run it in their terminal), then call load_profile with the returned code. For LOCAL server (stdio/npx): use file_path only. The url parameter is for direct download links (Google Drive, Dropbox, S3).

Returns a ready-to-run curl command that uploads a genome file directly to the OpenPGx server. Execute this command in your code execution sandbox or tell the user to run it in their terminal. The command sends the file WITHOUT reading it into context. After running it, use load_profile with the returned code.

FOR PROGRAMMATIC MCP CLIENTS ONLY (not for LLM agents). LLM agents: use get_upload_command + load_profile instead. This starts a chunked upload session for clients that can stream file contents without loading into context.

FOR PROGRAMMATIC MCP CLIENTS ONLY (not for LLM agents). LLM agents: use get_upload_command + load_profile instead. Sends a chunk of genome data for a chunked upload session.

RECOMMENDED for remote server. Load a genome profile using a code (e.g., pgx-a7b3c) from the /upload endpoint. The user ran a curl command (from get_upload_command) in their terminal or sandbox and received this code. This is the primary way to load genome data on the remote server without reading file contents into context.

Check how your genes affect a medication. Supports brand names ("Ozempic"), generic names ("semaglutide"), typos ("ozmpic"), and natural language ("weight loss injection", "antidepressivo").

Generate a complete pharmacogenomic report with all your genes, phenotypes, and affected medication categories.

Analyze genes related to supplement metabolism: MTHFR, COMT, VDR, BCMO1, FUT2, CBS. Returns personalized suggestions.

Compare two medications head-to-head based on your genetic profile. Supports brand names.

Check your genetic risk for a specific disease or condition. Supports: cancer, alzheimer's, diabetes, heart disease, celiac, hemochromatosis, macular degeneration, blood clots, and more.

Generate a comprehensive genetic disease risk report covering all analyzed conditions: cancer, cardiovascular, neurological, metabolic, autoimmune, and more.

Discover your genetic traits: caffeine metabolism, lactose tolerance, muscle type, bitter taste, sleep chronotype, alcohol flush, sun sensitivity, and more.

Generate a complete genomic intelligence report covering all three modules: medications (PGx), disease risks, and traits. The most comprehensive analysis available.

Generate the most comprehensive genomic report available. Runs ALL modules at once: pharmacogenomics (all genes + clinical context), disease risk assessment (all 19 conditions with study citations and PMIDs), and genetic traits (all 30+ traits with studies). Includes odds ratios, evidence levels, risk allele counts, and full bibliography. This is the 'one-click full diagnostic' — the user does NOT need to ask condition by condition.

When no local study data exists for a drug, this tool returns a structured research prompt. Use YOUR web search capability to find pharmacogenomic data, then call save_drug_research with the results.

Save pharmacogenomic research from web search as a local study. Validates the data, caches it, and returns the medication check result.