Python Interpreter
Createdyzfly
Enables Large Language Models to interact with Python environments, execute code, and manage files.
About
The Python Interpreter allows LLMs to interact with Python environments through the Model Context Protocol (MCP). It provides tools for managing Python environments, executing code and scripts, managing packages, and performing file operations like reading and writing. It also includes Python prompts for common tasks such as function creation and debugging, enhancing the capabilities of LLMs by granting them direct access to Python's versatile ecosystem.
Key Features
- Installs and lists Python packages.
- Provides Python task templates and debugging assistance.
- Reads and writes files with size limits and security measures.
- Manages multiple Python environments (system and conda).
- 8 GitHub stars
- Executes Python code and scripts.
Use Cases
- Generating and modifying Python code.
- Executing data analysis scripts.
- Managing Python dependencies for LLM-driven workflows.
