关于
This system serves as a comprehensive Model Context Protocol (MCP) server designed for sophisticated product inventory management. It features a robust PostgreSQL database backend, seamlessly integrated via Docker containerization, and provides access to 9,739 products across various categories. A key highlight is its multi-platform AI integration, supporting natural language queries through Claude Desktop, Ollama, and Perplexity, enabling advanced filtering, pagination, and data analysis with Django-style lookups.
主要功能
- Multi-platform AI integrations (Claude Desktop, Ollama, Perplexity) for natural language queries
- Robust PostgreSQL database backend with Docker containerization
- Comprehensive product inventory management with 9,739 pre-loaded products
- Advanced filtering capabilities with field lookups like `__icontains`, `__gte`, `__lte`, and multi-field sorting
- 9 advanced MCP tools, including Django-style filtering and pagination
- 0 GitHub stars
使用案例
- Enabling natural language interaction and complex query processing for business users
- Facilitating development and testing of Model Context Protocol (MCP) tools
- Streamlining product inventory management and stock level tracking
- Performing advanced business intelligence and data analysis on product data
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