LLM chat UIs that support MCP

As open-source LLM chat applications like LibreChat, AnythingLLM, Open WebUI, and Chainlit evolve, the adoption of the Model Context Protocol (MCP) is becoming crucial for developers aiming to create data-rich, tool-augmented AI experiences. LibreChat stands out with its enterprise-grade features and full native MCP integration, making it ideal for complex multi-user environments. AnythingLLM excels in document-based Retrieval-Augmented Generation (RAG) workflows due to its straightforward setup and organization capabilities. Open WebUI, though lacking native MCP support, uses a proxy approach to convert MCP servers into REST API endpoints, maintaining adaptability with OpenAI's API standards. Chainlit offers the most flexibility for developers with its code-first approach, requiring Python programming to build custom applications. Each platform provides varying degrees of usability, flexibility, and MCP support, allowing users to integrate real-time data workflows effectively, with ClickHouse MCP Server as a practical example of connecting chat interfaces to live data sources.