This is a powerful MCP server specifically for academic figure generation, offering rich tools and configuration options. It's ideal for researchers to automate diagram creation but requires familiarity with multiple API providers and configuration.
PaperBanana is an open-source MCP server implementing and extending Google Research's PaperBanana for automated generation of publication-quality academic diagrams and statistical plots from text descriptions. It supports multiple providers including OpenAI, Azure, Gemini, and Atlas Cloud, featuring a two-phase multi-agent pipeline with iterative refinement for research automation and visualization.
Use the provided JSON config to run via uvx: uvx --from paperbanana[mcp] paperbanana-mcp, setting the GOOGLE_API_KEY environment variable (or OPENAI_API_KEY). Ensure Python 3.10+ and uv are installed.
{
"mcpServers": {
"paperbanana": {
"command": "uvx",
"args": [
"--from",
"paperbanana[mcp]",
"paperbanana-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-google-api-key"
}
}
}
}