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
Overview
What is CLDGeminiPDF?
CLDGeminiPDF is a Model Context Protocol (MCP) server that allows Claude Desktop to analyze PDF documents using Google's Gemini AI models, providing intelligent analysis and insights.
How to use CLDGeminiPDF?
To use CLDGeminiPDF, download the pre-built JAR file, obtain a free Gemini API key from Google AI Studio, configure the server in Claude Desktop, and start analyzing PDFs.
Key features of CLDGeminiPDF?
- PDF content extraction and analysis using Gemini AI models
- Support for multiple Gemini models (2.5, 2.0, 1.5 series, and Gemma models)
- Dual processing methods: direct PDF upload or text extraction
- Seamless integration with Claude Desktop via MCP
- Flexible configuration for easy deployment
Use cases of CLDGeminiPDF?
- Analyzing research papers for methodology and conclusions.
- Extracting key terms and risks from contracts.
- Generating insights from various PDF documents.
FAQ from CLDGeminiPDF?
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What are the prerequisites for using CLDGeminiPDF?
You need Java 11 or higher, Maven, a Google AI Studio API key, and the Claude Desktop application.
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Can I build CLDGeminiPDF from source?
Yes, you can clone the repository and build it using Maven.
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What should I do if I encounter a "PDF file not found" error?
Ensure the file path is correct and that the PDF file is accessible and readable.