PaperBanana

by llmsresearch · AI & ML · mcp-server, python

Generates publication-quality methodology diagrams and statistical plots from text descriptions using a multi-agent pipeline with specialized agents for retrieval, planning, styling, visualization, and iterative refinement.

Automated academic illustration generation framework that creates publication-quality methodology diagrams and statistical plots from text descriptions using a multi-agent pipeline powered by Google Gemini. Features five specialized agents (Retriever, Planner, Stylist, Visualizer, Critic) that work together through linear planning and iterative refinement phases. Includes VLM-as-Judge evaluation across four dimensions (faithfulness, conciseness, readability, aesthetics) and supports both methodology diagrams for system architectures and statistical plots with matplotlib code generation.

Source: https://github.com/llmsresearch/paperbanana

Install

git clone https://github.com/llmsresearch/paperbanana

Tags: mcp-server, python

⭐ 1,236 GitHub stars · Source: pulsemcp

About AI & ML MCP servers and Claude skills

AI & ML MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

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Frequently asked questions

How do I install PaperBanana?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support PaperBanana?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is PaperBanana free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.