MCP server for Harvard University Library catalog API
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# Harvard Library MCP Server A Model Context Protocol (MCP) server for the Harvard University Library catalog API, providing comprehensive bibliographic search and metadata retrieval capabilities for AI assistants. [](https://badge.fury.io/py/harvard-library-mcp) [](https://pypi.org/project/harvard-library-mcp/) [](https://opensource.org/licenses/MIT) ## ✨ Features - **🔍 Comprehensive Search**: Free-text search, advanced fielded search, collection-specific queries - **📚 Rich Metadata**: Native MODS XML format with structured JSON conversion - **🔌 Universal Integration**: stdio MCP transport for Claude Desktop, Cherry Studio, and other AI assistants - **⚡ High Performance**: Async HTTP client with built-in rate limiting and error handling - **🌐 Access to 20M+ Records**: Search Harvard's entire academic library collection - **📖 Complete Metadata**: Access to bibliographic records, subject headings, and collection information ## 🚀 Quick Start ### Installation from PyPI ```bash pip install harvard-library-mcp ``` ### Usage with AI Assistants #### Cherry Studio Integration Cherry Studio provides native MCP server support for seamless integration with the Harvard Library catalog. **Prerequisites:** - Cherry Studio installed on your system - `harvard-library-mcp` package installed via `pip install harvard-library-mcp` **Step 1: Install MCP Environment** 1. Open Cherry Studio → Settings → MCP Server 2. Click "Install" to automatically install required dependencies 3. If installation fails, manually install to the Cherry Studio directory: - **Windows**: `C:\Users\{username}\.cherrystudio\bin` - **macOS/Linux**: `~/.cherrystudio/bin` **Step 2: Configure Harvard Library MCP Server** Cherry Studio may use the standard MCP configuration forma…
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