---
title: "rnaseq-plot"
description: "RNA-seq downstream plotting via local Rscript: DESeq2/edgeR/limma, volcano, heatmap, GSEA, WGCNA (png+pdf)."
canonical: https://agentpluginsdirectory.com/plugins/rnaseq-plot
last-updated: 2026-10-08
---

# rnaseq-plot
RNA-seq downstream plotting via local Rscript: DESeq2/edgeR/limma, volcano, heatmap, GSEA, WGCNA (png+pdf).
- Slug: rnaseq-plot
- Publisher: Presisitence
- Repository: https://github.com/MiniMax-AI/MiniMax-Code-Plugins
- Manifest: plugins/Presisitence/rnaseq-plot/plugin.json
- Version: 0.1.1
- License: MIT
- Category (editorial): other
- Skills: 1 (rnaseq-plot)
- MCP servers: 1 (rnaseq-plot)
- Stars: 18
- Repository created: 2026-08-17
- Repository last pushed: 2026-09-21
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/rnaseq-plot
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What rnaseq-plot does, in the publisher's words

RNA-seq downstream plotting for MiniMax Code (formerly published as rgraph). Parameterized R scripts (ggplot2, pheatmap, clusterProfiler, edgeR, limma, WGCNA, …) are exposed as MCP tools and rendered by the user's local Rscript to png + pdf.

The Plugin consumes the user's own count/FPKM tables. It does not ship genomes or experimental matrices. tests/data/ is a tiny synthetic g1: g10 table for smoke tests.

MCP tool names remain rgraph_* (for example rgraph_volcano) so existing prompts keep working.

- Python 3.10+ and uv on PATH.
- R with Rscript on PATH, or set RGRAPH_RSCRIPT to the Rscript executable.
- Common R packages: ggplot2, pheatmap, edgeR or DESeq2 or limma, clusterProfiler as needed. Missing packages are reported with CRAN/Bioconductor install lines.
- Windows, macOS, and Linux.
- Default analyses are local: user CSVs in, png/pdf out. No telemetry.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/MiniMax-AI/MiniMax-Code-Plugins/HEAD/plugins/Presisitence/rnaseq-plot/README.md

## Skills

- rnaseq-plot: Use when the user already has an RNA-seq count or expression matrix and needs downstream plots or analysis (normalize, PCA, DESeq2/edgeR/limma, volcano, heatmap, GO/KEGG, GSEA, WGCNA). Call the rnaseq-plot MCP tools named rgraph_*; do not redraw in Python.

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

## MCP servers

- rnaseq-plot: transport: stdio; command: uv run server.py

Read from the plugin's own mcp.json. Environment variable names only, never values.