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PaperBanana-CN

MCP.Pizza Chef: mituan-ai

PaperBanana-CN is a server that helps you create scientific figures like methodology diagrams and statistical plots using AI. It offers a Chinese and English web interface where you input your research details or data files, then customize figure size and resolution. It connects to AI services such as OpenAI, Claude, or Gemini for image and language processing. Setup requires some technical steps like installing Python and running commands, but once running, you can generate and manage scientific visuals easily in your browser.

Images/Design
Other

Use This MCP server To

Generate scientific methodology diagrams from research descriptions Create statistical plots from CSV or JSON data Adjust figure aspect ratio and resolution for presentations Batch generate multiple scientific figures automatically Compose multi-panel scientific figures without AI Browse and continue previous figure generation runs Evaluate figure quality using AI feedback

README

English · 简体中文

PaperBanana-CN scientific figure workbench with a generated multimodal fault-diagnosis figure

PaperBanana-CN generates methodology diagrams from research descriptions and statistical plots from CSV or JSON data. It uses the PaperBanana scientific workflow and adds separate VLM and image-service connections, a Chinese Studio interface, and explicit aspect-ratio and resolution controls.

Launch Studio Install from PyPI

CI status Package version 2.0.1 MIT License

One run from input to figure

A PaperBanana-CN Studio run progressing from configured inputs to a completed scientific figure

The recording follows a methodology-diagram run from submitted inputs to the completed result.

Before you start

You need Python 3.10-3.12, uv, and a desktop browser.

Task Required model connections
Methodology diagram VLM and image generation
Statistical plot VLM only
Multi-panel composition and run browsing None

Each connection specifies its own protocol, Base URL, API key, model name, and timeout. The VLM and image roles may use the same service or two different services.

PaperBanana-CN FAQ

Can I use PaperBanana-CN to create scientific methodology diagrams?
Yes — it generates detailed methodology diagrams from your research descriptions using AI image and language models.
Can I create statistical plots from my data with PaperBanana-CN?
Yes — it can produce statistical plots from CSV or JSON data using AI language models.
Which apps or clients support PaperBanana-CN?
It runs as a server you can connect to via compatible clients that support MCP servers; it includes a Studio web interface accessible in a desktop browser.
Do I need an API key or account to use PaperBanana-CN?
Yes — you need to provide API keys for the AI services it connects to, such as OpenAI, Claude, or Gemini-compatible providers.
How hard is it to set up PaperBanana-CN?
Setup requires developer skills, including installing Python and running commands via Docker or uvx.
Does PaperBanana-CN support languages other than Chinese?
Yes — the interface is available in both Chinese and English.
Can I control the size and resolution of generated figures?
Yes — you can choose aspect ratios and resolution tiers like 1K, 2K, or 4K before generation.