by keli-wen · MCP Server · ★ 237
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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. 🚩 Update (2025-04-10): More complex LLM response parsing, supporting multiple MCP tool calls and multiple chat iterations. Added single prompt examples with both regular and streaming modes. Added interactive terminal chatbot examples. This project includes: Simple/Complex CLI chatbot interface Integration with some builtin MCP Server like (Markdown processing tools) Support for customized LLM (e.g.
| 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.
The top alternatives to mcp_chatbot on Agent Skills Hub include mcpstore, better-chatbot, arcade-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.