Add plugin microbe - #23
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16S/ITS downstream microbiome analysis via local Rscript (alpha/beta diversity, composition, differential abundance, co-occurrence).
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What changes
New Plugin
Presisitence/microbe— 16S/ITS downstream microbiome analysis via local Rscript (alpha/beta diversity, composition, differential abundance, co-occurrence, random forest, taxonomy tree).Path:
plugins/Presisitence/microbe. Standalone source: https://github.com/Presisitence/microbe-mcpUser value
Given a feature table, taxonomy, and metadata, MiniMax Code can run vegan/DESeq2-style downstream plots and write png+pdf without starting from raw reads.
Example prompt:
Expected result:
microbe_envthenmicrobe_alpha,microbe_beta,microbe_composition,microbe_diff,microbe_network; png+pdf paths and key stats returned. Does not run DADA2/QIIME2.Plugin submission checklist
plugins/<github-owner>/<plugin-name>.plugin.jsonname matches the Plugin directory.README.mdincludes a real example prompt and expected result.LICENSEandplugin.jsondeclare an open-source license.TODOhas been replaced.npm run checkvalidator accepts this Plugin (validateHostedPluginDirectory).Dependencies and platforms
Rscripton PATH, orMICROBE_RSCRIPT.Network and data behavior
Analyses are local on user CSVs. No telemetry. No credentials.
tests/prep_test.pywrites synthetic OTU-like tables only.Evidence
Manual: stdio MCP uses bare
uv+${PLUGIN_ROOT}; MIT LICENSE; no private 16S data shipped.