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Daily Dose of Data Science | Avi Chawla | Substack

A technical demonstration of building a voice agent using Model Context Protocol (MCP) that can query databases and perform web searches. The system uses AssemblyAI for speech-to-text, Firecrawl for web search, Supabase as the database, LiveKit for orchestration, and Qwen3 as the LLM. The agent transcribes user speech, determines whether to query the database or search the web, and responds via text-to-speech.

An MCP-powered Voice Agent

<p>My grandfather sadly became blind a week ago. Im currently reading a lot about how i can help him and i hope these things soon will enable blind people to work really good with ai and computers. He is already using google assistant but it is limited really fast on its capabilities.</p>
