trackmcp
Back to directory
tfll37

CLDGeminiPDF-Analyzer

View on GitHub

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

1 stars JavaAI & Machine Learning Updated Oct 15, 2025
aiclaudeclaude-desktopmcp-server

Documentation

CLDGeminiPDF MCP Server

A Model Context Protocol (MCP) server that enables Claude Desktop to analyze PDF documents using Google's AI models. This server sends PDF files & extracts text from PDFs by leveraging Gemini's powerful language understanding to provide intelligent analysis and insights.

Quick Start

1. Download: Get the pre-built JAR from Releases

2. API Key: Get your free Gemini API key from Google AI Studio

3. Configure: Add the server to your Claude Desktop config with the JAR path and API key

4. Analyze: Start analyzing PDFs with Claude!

Features

  • PDF Analysis: Extract and analyze PDF content using Gemini AI models
  • Multiple Model Support: Choose from various Gemini models (2.5, 2.0, 1.5 series, and Gemma models)
  • Dual Processing Methods: Direct PDF upload to Gemini or fallback text extraction
  • MCP Integration: Seamless integration with Claude Desktop via Model Context Protocol
  • Flexible Configuration: Environment-based configuration for easy deployment

Prerequisites

Installation

1. Download the latest `CLDGeminiPDF.v1.0.0.jar` from the Releases page

2. Save it to a convenient location on your system

Option 2: Build from Source

bash
git clone 
cd CLDGeminiPDF
mvn clean compile assembly:single

This will create a JAR file with all dependencies included in the `target/` directory.

Get Your Gemini API Key

1. Visit Google AI Studio

2. Sign in with your Google account

3. Click "Get API Key" and create a new key

4. Copy the API key for use in environment variables

Claude Desktop Integration

1. Locate Claude Desktop Configuration

The configuration file location depends on your operating system:

  • Windows: `%APPDATA%\Claude\claude_desktop_config.json`
  • macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
  • Linux: `~/.config/Claude/claude_desktop_config.json`

2. Update Configuration File

Add both the filesystem server and CLDGeminiPDF server to your `claude_desktop_config.json`:

json
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/your/documents"
      ]
    },
    "CLDGeminiPDF": {
      "command": "java",
      "args": [
        "-jar",
        "/path/to/CLDGeminiPDF.v1.0.0.jar"
      ],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here",
        "GEMINI_MODEL": "gemini-2.0-flash"
      }
    }
  }
}

Important:

  • Replace `/path/to/your/documents` with the directory containing your PDF files
  • Replace `/path/to/CLDGeminiPDF.v1.0.0.jar` with the actual path to your downloaded JAR file
  • Replace `your_api_key_here` with your actual Gemini API key

Example Paths:

  • Windows: `"C:\\Users\\YourName\\Downloads\\CLDGeminiPDF.v1.0.0.jar"`
  • macOS: `"/Users/YourName/Downloads/CLDGeminiPDF.v1.0.0.jar"`
  • Linux: `"/home/yourusername/Downloads/CLDGeminiPDF.v1.0.0.jar"`

3. Restart Claude Desktop

Close and restart Claude Desktop for the changes to take effect.

Available Gemini Models

*Data for Free Tier Users of Google API*

ModelDescriptionLimits
`gemini-2.5-flash-preview-05-20`Latest preview with high performance10 RPM, 250K TPM
`gemini-2.5-flash-preview-04-17`Previous preview version10 RPM, 250K TPM
`gemini-2.5-pro-preview-05-06`Pro version with advanced capabilitiesLimited availability
`gemini-2.0-flash`Stable, fast model (default)15 RPM, 1M TPM
`gemini-2.0-flash-lite`Lightweight version30 RPM, 1M TPM
`gemini-1.5-flash`Stable general-purpose model15 RPM, 250K TPM
`gemini-1.5-pro`Largest context window of 2M tokensUnavailable for free tier users
`gemma-3 models`Open models, up to 27B parameters30 RPM, 15K TPM

*Model availability depends on your API key and usage tier. Check your Google AI Studio account for available models.*

*Data sourced from https://ai.google.dev/gemini-api/docs/rate-limits#free-tier*

Usage Examples

The CLDGeminiPDF MCP server requires the Filesystem MCP server to access PDF files. It works with complete file paths or by finding files within the allowed directory scope.

Note: Version 1.0.0 does NOT support drag-and-drop files in the chat interface. Files must be accessible through the filesystem server.

Once configured, you can use these commands in Claude Desktop:

Analyze a PDF with Full Path

code
Please analyze this research paper: file:///Users/username/Documents/research_paper.pdf

Focus on the methodology and conclusions.

Find and Analyze a PDF by Name

code
Find the "research_paper.pdf" file in the Documents directory and analyze it using Gemini.

List Available Models

code
What Gemini models are available for PDF analysis?

Use a Specific Model

code
Analyze this contract using the gemini-2.5-pro model: file:///path/to/contract.pdf

Look for key terms and potential risks.

Troubleshooting

Common Issues

1. "GEMINI_API_KEY environment variable is not set!"

    2. "PDF file not found or not readable"

      3. "Gemini API error: 401"

        4. "Gemini API error: 429"

          5. Filesystem server not working

            Debugging

            To enable detailed logging, you can modify the Java command in your configuration:

            json
            "args": [
              "-Djava.util.logging.level=INFO",
              "-jar",
              "/path/to/CLDGeminiPDF.v1.0.0.jar"
            ]

            Verify Configuration

            Test your setup by asking Claude Desktop:

            code
            List the available Gemini models

            If successful, you should see a JSON response with available models and their capabilities.

            Development

            Building from Source

            bash
            git clone 
            cd CLDGeminiPDF
            mvn clean compile assembly:single

            The JAR file will be created in the `target/` directory.

            Dependencies

            • Jackson (JSON processing)
            • Apache PDFBox (PDF text extraction)
            • MCP Java SDK (Model Context Protocol)
            • Java HTTP Client (API communication)

            Contributing

            Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

            License

            This project is licensed under the MIT License - see the LICENSE file for details.

            Support

            For issues and questions:

            Frequently asked questions

            What is CLDGeminiPDF-Analyzer?

            CLDGeminiPDF-Analyzer is 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

            How do I install CLDGeminiPDF-Analyzer?

            Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

            Is CLDGeminiPDF-Analyzer open source?

            Yes — it is hosted on GitHub at https://github.com/tfll37/CLDGeminiPDF-Analyzer and has 1 stars.

            Related MCP tools

            Run your own MCP server? See who uses it and what to fix.

            Measure it with TrackMCP