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Search, compare, and synthesize plant genomics data across multiple sources.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Plant Genomics" MCP server from askskill: Run: claude mcp add 'io-github-musharna-plant-genomics-mcp' -- npx -y plant-genomics-mcp
Use this Plant Genomics MCP to find target genes related to drought tolerance in rice. Summarize gene annotations, functional descriptions, related pathways, and available links from different databases, organized by source.
A source-organized summary of candidate genes with annotations, functions, and reference links.
Compare homologous genes related to flowering time in Arabidopsis and maize. Compile gene names, functional annotations, expression or pathway information, and highlight agreements and differences across sources.
A cross-species homolog comparison report showing similarities, differences, and data sources.
For tomato fruit development, use the available tools to synthesize data from multiple backends and produce a research brief covering key genes, pathways, major evidence sources, and promising directions for further validation.
A structured research brief combining key findings, evidence sources, and next-step recommendations.
Analyze gene families with FASTA validation and PlantCARE cis-element prediction.
Search and work with breeding studies, germplasm, and genotype data across BrAPI platforms.
Query MGnify genomes and run KEGG annotation and module completeness analysis.
Access multiple biomedical MCP data services through one unified endpoint.
Search, map, and analyze non-coding RNA sequences from RNAcentral.
Search KEGG pathways, genes, compounds, diseases, and linked bioinformatics resources.