Paperbanana
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.
by llmsresearch · llmsresearch/paperbanana
Install
See GitHub repository for installation instructions.
How to use Paperbanana with Claude
Paperbanana is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to search capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Paperbanana will appear in the available tools list
About Paperbanana
Paperbanana is an open-source MCP server in the Search category, built in Python. It connects Claude and other MCP-compatible clients to search systems directly. Source available on GitHub.
Use cases for Search MCP servers
- →Run semantic and keyword searches across multiple indices
- →Summarize and cluster search results automatically
- →Integrate external search APIs into AI agent workflows
- →Build RAG pipelines connecting AI to live search indexes
Where Paperbanana fits in an MCP workflow
Teams use Paperbanana to give Claude a direct bridge into search workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Paperbanana can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to search systems.
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