by keli-wen · MCP Server · ★ 237
MCPChatbot Example This project demonstrates how to integrate the Model Context Protocol (MCP) with customized LLM (e.g. Qwen), creating a powerful chatbot that can interact with various tools through MCP servers. The implementation showcases the flexibility of MCP by enabling LLMs to use external tools seamlessly. [!TIP] For Chinese version, please refer to READMEZH.md. Overview Chatbot Streamlit Example Workflow Tracer Example 🚩 Update (2025-04-11): Added chatbot streamlit example.
| Stars | 237 |
| Forks | 52 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.0502527881761/100 |
| Open Issues | 10 |
| Last Updated | 2025-07-30 |
| Created | 2025-03-17 |
| Platforms | mcp, python |
| Est. Tokens | ~566k |
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mcp_chatbot is A chatbot implementation compatible with MCP (terminal / streamlit supported). It is categorized as a MCP Server with 237 GitHub stars.
mcp_chatbot is primarily written in Python. It covers topics such as chatbot, mcp, mcp-host.
You can find installation instructions and usage details in the mcp_chatbot GitHub repository at github.com/keli-wen/mcp_chatbot. The project has 237 stars and 52 forks, indicating an active community.
mcp_chatbot is released under the MIT license, making it free to use and modify according to the license terms.