PaperBanana
PaperBanana provides an agentic framework that automatically generates publication-quality academic diagrams and statistical plots from text descriptions, solving the time-consuming task of manual illustration creation for researchers. The server implements a two-phase multi-agent pipeline with iterative refinement capabilities and supports multiple vision language model and image generation providers including OpenAI, Azure OpenAI, and Google Gemini. It offers tools for input optimization and diagram generation with customizable parameters to produce figures suitable for academic papers and publications.
- GitHub stars
- 2K
- tools
- 11
- transport
- STDIO
- last updated
- Feb 5, 2026
Tools
11 toolsPublic tool metadata for what this MCP can expose to an agent.
generate_diagram
No parameter schema in public metadata yet.
generate_plot
No parameter schema in public metadata yet.
continue_runResume a prior run with optional feedback.
Resume a prior run with optional feedback.
No parameter schema in public metadata yet.
continue_diagram
No parameter schema in public metadata yet.
continue_plot
No parameter schema in public metadata yet.
evaluate_diagram
No parameter schema in public metadata yet.
evaluate_plot
No parameter schema in public metadata yet.
orchestrate_figuresGenerate full-paper figure packages.
Generate full-paper figure packages.
No parameter schema in public metadata yet.
batch_diagrams
No parameter schema in public metadata yet.
batch_plots
No parameter schema in public metadata yet.
download_references
No parameter schema in public metadata yet.
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PaperBananaAutomated Academic Illustration for AI Scientists
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Details
- Repository
- github.com/llmsresearch/paperbanana
- Category
- AI & LLM Tools
- Package
paperbanana- Transport
- STDIO
- Registry
- MCP registry, active
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