microbe-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@microbe-mcpRun alpha diversity analysis on my feature table, output PNG."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
microbe-mcp
Downstream microbiome / amplicon (16S · ITS) analysis MCP. Wraps R scripts such as vegan / DESeq2 / edgeR / igraph / Hmisc / randomForest / ggtree into tools, producing png + pdf via the local Rscript.
Charts align with two public papers (for easy layout replication, without their raw data):
Liu et al. 2023, Nature Microbiology — rice false smut phyllosphere microbiota
Zhou et al. 2022, Nature Communications — cross-kingdom synthetic microbiota for tomato Fusarium wilt
R engine
Priority: MICROBE_RSCRIPT → Rscript on PATH → C:\Program Files\R\... / registry.
$env:MICROBE_RSCRIPT = "C:\Program Files\R\R-4.5.1\bin\Rscript.exe"
uv run microbe-cliRelated MCP server: methods-mcp
Data contract (3 CSVs)
File | Required columns |
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Tools (9)
microbe_env microbe_alpha microbe_beta microbe_composition microbe_diff
microbe_network microbe_rf microbe_corr microbe_tree
Does not include reads → ASV (DADA2/QIIME2). A feature table is all that's needed to connect.
Testing
python tests/prep_test.py # 合成扩增子表,无真实样本
python tests/smoke.pyRegistration
{
"mcpServers": {
"microbe": {
"command": "uv",
"args": ["run", "--directory", "/absolute/path/to/microbe-mcp", "server.py"],
"env": { "MICROBE_RSCRIPT": "/path/to/Rscript" }
}
}
}License
MIT.
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