A beautiful command-line interface for genomic analysis.
# Quick install
./install.sh
# Or with pip
pip install genomemcp[cli]
# Development mode
./setup-dev.sh
source .venv/bin/activategenomemcp search BRCA1
genomemcp search "Lynch Syndrome" --limit 20genomemcp variant 12345
genomemcp variant 12345 --literature --max-articles 10genomemcp gene TP53
genomemcp gene BRCA1genomemcp context BRCA1 150
# Returns: Position 150 falls within: Exon 2genomemcp pathway TP53
genomemcp pathway EGFR --visualizegenomemcp population 1-55516888-G-GA
genomemcp population 17-41245466-C-Tgenomemcp discover "Lynch Syndrome"
genomemcp discover "Cardiomyopathy" --max-genes 10genomemcp evidence "Breast Cancer"
genomemcp evidence "Lynch Syndrome" --max-genes 5genomemcp tuiTUI Keyboard Shortcuts:
s— Focus searchq— Quitr— Refresh?— HelpEsc— Clear search
genomemcp --version # Show version
genomemcp --theme cyberpunk ... # Set theme
genomemcp --no-banner ... # Hide header- default — Balanced colors
- cyberpunk — Magenta/cyan accents
- professional — Blue tones
- minimal — Subtle styling
Interact with GenomeMCP using natural language and local AI models (via Ollama).
# Start chat with default model (qwen2.5:7b)
genomemcp chat
# Use specific model
genomemcp chat --model llama3.1:8b
# Show tool calls (verbose mode)
genomemcp chat --verboseRequired: Ollama running locally.
List available models in Ollama.
genomemcp modelsEnd-to-end scientific research workflows powered by Denario agents. Note: Requires Python 3.12+.
# Initialize a new research project
genomemcp research init --phenotype "Lynch Syndrome"
# Generate novel research idea
genomemcp research idea
# Generate experimental methodology
genomemcp research method
# Run analysis and generate results/plots
genomemcp research analyze
# Write full LaTeX paper
genomemcp research paper --journal Nature
# Interactive guided mode
genomemcp research interactiveSee the Research Guide for detailed workflows.