关于
This project serves as a practical test and demonstration for building a modular Model Context Protocol (MCP) server using Python. It focuses on integrating local language models, like those supported by Ollama, with custom Python tools. Developers can explore asynchronous programming, tool registration, and advanced prompt engineering techniques to parse natural language commands, detect user intents, and dynamically invoke various tools, such as note management, weather fetching, or secure shell command execution.
主要功能
- Integration with Ollama local LLMs for structured data extraction
- 0 GitHub stars
- Examples of diverse tools including note creation, weather fetching, mathematical calculations, and secure shell command execution
- Intent detection via keyword matching and prompt parsing from natural language
- Modular design allowing easy addition of new Python-based tools
使用案例
- Experimenting with prompt design and local LLM integration for tool invocation
- Learning asynchronous Python programming and modular server architecture
- Practicing building custom tools that respond to natural language commands
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