Vectara
Provides a bridge between conversational interfaces and Vectara's Retrieval-Augmented Generation capabilities, enabling powerful s
Vectara MCP Server provides a bridge between AI assistants and Vectara's Retrieval-Augmented Generation (RAG) capabilities. Built by Ofer Mendelevitch, it offers two primary tools: one for running RAG queries that return both search results and generated responses, and another for semantic search without generation. The server handles authentication with Vectara's API, manages context configuration for search results, and supports customization of generation parameters including language selection and citation formatting. It's particularly valuable for developers who need to integrate powerful RAG functionality into conversational AI interfaces without managing the complexities of Vectara's API directly.
Source
Repository: https://github.com/vectara/vectara-mcp
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