Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"paperbanana": {
"env": {
"GOOGLE_API_KEY": "your-google-api-key"
},
"args": [
"--from",
"paperbanana[mcp]",
"paperbanana-mcp"
],
"command": "uvx"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Disclaimer: This is an unofficial, community-driven open-source implementation of the paper > "PaperBanana: Automating Academic Illustration for AI Scientists" by Dawei Zhu, Rui Meng, Yale Song, > Xiyu Wei, Sujian Li, Tomas Pfister, and Jinsung Yoon (arXiv:2601.23265). > This project is not affiliated with or endorsed by the original authors or Google Research. > The implementation is based on the publicly available paper and may differ from the original system.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'paperbanana' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked paperbanana against OSV.dev.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ai-ml / design
Dynamic problem-solving through sequential thought chains
Persistent memory using a knowledge graph
Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
MCP server for accessing Figma plugin console logs and screenshots via Cloudflare Workers or local mode
MCP Security Weekly
Get CVE alerts and security updates for Paperbanana and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
|
PaperBananaAutomated Academic Illustration for AI Scientists |
Disclaimer: This is an unofficial, community-driven open-source implementation of the paper "PaperBanana: Automating Academic Illustration for AI Scientists" by Dawei Zhu, Rui Meng, Yale Song, Xiyu Wei, Sujian Li, Tomas Pfister, and Jinsung Yoon (arXiv:2601.23265). This project is not affiliated with or endorsed by the original authors or Google Research. The implementation is based on the publicly available paper and may differ from the original system.
An agentic framework for generating publication-quality academic diagrams and statistical plots from text descriptions. Supports OpenAI (GPT-5.2 + GPT-Image-1.5), Azure OpenAI / Foundry, and Google Gemini providers.
paperbanana plot-batch runs many statistical plots from one manifest (CSV/JSON per item)paperbanana[pdf] / PyMuPDF), with per-page selectionpaperbanana studio) for diagrams, plots, evaluation, batch, and run browser/generate-diagram, /generate-plot, and /evaluate-diagram