mcp_chatbot and mcp-playground
Elkhn/mcp-playground is a client application that provides a Streamlit-based chat interface for interacting with LLMs that implement the Model Context Protocol (MCP), while keli-wen/mcp_chatbot is a chatbot implementation that adheres to this very protocol, making them complementary tools where the latter could be a backend for the former.
About mcp_chatbot
keli-wen/mcp_chatbot
A chatbot implementation compatible with MCP (terminal / streamlit supported)
This tool helps individuals create and manage AI chatbots that can understand and use external tools. You provide the chatbot with an LLM (like Qwen or Ollama) and define its capabilities by connecting it to various 'tools' (like a markdown processor). The output is an interactive chatbot, accessible via a command-line interface or a web interface, capable of performing complex tasks by leveraging its connected tools.
About mcp-playground
Elkhn/mcp-playground
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
This is a web application that helps developers test and interact with large language models (LLMs) that can use external tools. You can input natural language questions, and the system will use available tools (like weather or currency services) to provide answers. It's designed for AI developers, researchers, and engineers who are building or evaluating LLM agents.
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