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paperbanana

MCPOpen source

Open-source agentic framework for generating publication-quality academic diagrams and plots from text, with MCP server

2.2kMIT

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.

Pros

  • +Multi-provider support (OpenAI, Azure, Gemini, Atlas Cloud)
  • +Two-phase multi-agent pipeline with iterative refinement
  • +Batch generation and PDF input support
  • +Includes CLI, Python API, MCP server, and local web UI

Cons

  • −Requires external API keys (OpenAI/Gemini) for generation
  • −Unofficial implementation may differ from original research
  • −Steep learning curve for advanced features

Target audience: AI researchers and scientists who need to automate the creation of publication-quality figures and diagrams for academic papers.

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