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.

mcp_chatbot
50
Established
mcp-playground
44
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 10/25
Adoption 8/25
Maturity 7/25
Community 19/25
Stars: 238
Forks: 51
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 43
Forks: 17
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License No Package No Dependents

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.

AI-chatbot-development LLM-integration conversational-AI tool-augmented-AI AI-workflow-automation

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.

LLM development AI agent testing tool integration API orchestration prompt engineering

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