MCP Gosling - Advanced document processing server for Goose AI using IBM's Docling library
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# 🦆 MCP Gosling - Document Processor for Goose [](https://badge.fury.io/py/mcp-gosling) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) > **Advanced document processing extension for Goose AI with enterprise-grade offline fallback** A powerful [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that provides advanced document processing capabilities for [Goose](https://block.github.io/goose/). Process PDFs, DOCX, PPTX, images, and HTML documents with high fidelity using [IBM's Docling library](https://github.com/DS4SD/docling), with intelligent fallback to offline processing for network-restricted environments. ## ✨ **Key Features** 🔧 **Enterprise-Ready**: SSL certificate fixes for corporate networks 📄 **Multi-Format**: PDF, DOCX, PPTX, images, HTML, and more 🌐 **Offline Capable**: Graceful fallback to PyPDF2 when Hugging Face is blocked ⚡ **High Performance**: Optimized for production workloads 🛡️ **Robust**: Comprehensive error handling and validation 🎯 **AI-Optimized**: Clean Markdown output perfect for AI analysis ## 🚀 **Quick Start** ### Installation Options #### Option 1: Standard Installation (Recommended) ```bash pip install mcp-gosling ``` #### Option 2: Using uvx (Modern Tooling) ```bash # Run directly without installation uvx mcp-gosling # Or using uv tool run (identical behavior) uv tool run mcp-gosling ``` ### Configuration for Goose #### With Standard Installation: ```json { "mcpServers": { "gosling": { "command": "mcp-gosling", "args": [] } } } ``` #### With uvx: ```json { "mcpServers": { "gosling": { "command": "uvx", "args": ["mcp-gosling"] } } } ``` ### Usage ```bash # Process your AWS certification PDF goose "Process my AWS certif…
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