Generate AI-powered responses by combining real-time web search with advanced language models, ideal for complex queries requiring reasoning and synthesis across multiple sources, with contextual memory for follow-up questions.
Constructs LLM-ready prompts by integrating conversation context and factual data for API calls, enabling topic-based routing without full history dependencies.
A Model Context Protocol server that provides Retrieval-Augmented Generation capabilities using Contextual AI, enabling AI interfaces like Cursor IDE and Claude Desktop to query domain-specific knowledge with context-aware responses and source citations.
A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.
Integrates Dify's external knowledge base API with the Model Context Protocol to enable AI agents to retrieve and query relevant information. It supports relevance scoring, metadata filtering, and flexible configuration through environment variables or command-line arguments.