What prerequisites are needed to run CLDGeminiPDF?
Java 11 or higher, Maven (if building from source), a free Google AI Studio API key, the Claude Desktop application, and the Filesystem MCP server are required.
@tfll37
基本信息
MCP server for Claude Desktop allowing sharing files to Google's Gemini AI models via API for analysis and then response retrieval to Claude Desktop for further processing
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CLDGeminiPDF is a Model Context Protocol (MCP) server that enables Claude Desktop to analyze PDF documents using Google's Gemini AI models. It sends PDF files and extracts text, leveraging Gemini’s language understanding for intelligent analysis and insights. It is intended for Claude Desktop users who want AI-powered PDF analysis.
Download the pre-built JAR from the Releases page, obtain a free Gemini API key from Google AI Studio, and add the server to your Claude Desktop configuration file (claude_desktop_config.json) with the JAR path and API key. Restart Claude Desktop, then use commands like “Analyze this research paper: file:///path/to/paper.pdf” or “Find and analyze the file by name.”
Java 11 or higher, Maven (if building from source), a free Google AI Studio API key, the Claude Desktop application, and the Filesystem MCP server are required.
Set the `GEMINI_API_KEY` and `GEMINI_MODEL` environment variables in the `env` block of the CLDGeminiPDF server entry in Claude Desktop’s config file. The default model is `gemini-2.0-flash`.
Verify that your API key is correct and valid, and check that it has the necessary permissions in Google AI Studio.
No. Version 1.0.0 does not support drag-and-drop files in the chat interface. Files must be accessible through the Filesystem MCP server.
Available models include `gemini-2.5-flash-preview-05-20`, `gemini-2.5-pro-preview-05-06`, `gemini-2.0-flash`, `gemini-2.0-flash-lite`, `gemini-1.5-flash`, and `gemma-3` models. `gemini-1.5-pro` is unavailable for free tier users. Model availability depends on your API key and usage tier.

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