MCP MCP server · io.github.llmsresearch
io.github.llmsresearch/paperbanana
Generate academic diagrams and statistical plots from text using multi-agent AI.
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PaperBanana is an MCP server (stdio transport) that generates academic diagrams and statistical plots from text using a multi-agent AI pipeline of up to 7 specialized agents. It exposes CLI commands for methodology diagrams, matplotlib-based plots, batch generation, venue style packs, multi-panel composition, and quality evaluation.
Reach for it when you need publication-style figures and diagrams generated from text descriptions or paper sources without manual drawing.
Use it to
- Generate methodology diagrams from text
- Render statistical plots from CSV/JSON data via generated matplotlib code
- Batch-generate figures from a YAML/JSON manifest
- Compose multi-panel figures with (a)/(b)/(c) labels
- Evaluate generated diagrams against human references
For Researchers and authors preparing academic paper figures
- Runs
- installed — on your machine
- Transport
- stdio
- Packaged as
- pypi:paperbanana
- Install
- uvx paperbanana
- Version
- 0.1.1
- Last release
- 2026-02-05
topicsacademic-figuresdiagramsplotsmulti-agentmatplotlibmcp-server