Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

Towards Data Science

A comprehensive guide to building an MCP (Model Context Protocol) client using Streamlit that connects to remote MCP servers like DeepWiki and HuggingFace. Covers setting up the development environment, securing API keys, creating user interfaces with Streamlit components, connecting to MCP servers, and generating AI-powered responses. Includes practical code examples and deployment considerations for creating interactive web applications that leverage external AI tools and resources.

MCP Client Development with Streamlit: Build Your AI-Powered Web App