Python MCP Server
by Timtech4u
A Model Context Protocol (MCP) server for executing Python code and managing Python environments. This server allows Claude and other LLMs to run Python code, manage files, and work with Python packages.
Last updated: N/A
What is Python MCP Server?
The Python MCP Server is a tool that enables Large Language Models (LLMs) like Claude to execute Python code, manage files, and interact with Python environments. It acts as a bridge, allowing LLMs to leverage Python's capabilities for various tasks.
How to use Python MCP Server?
To use the Python MCP Server, you need to install it, configure it within your LLM's settings (e.g., Claude Desktop or Cline), and then interact with the LLM using natural language prompts to execute Python code, manage files, or check the Python environment. Refer to the README for detailed installation and configuration instructions.
Key features of Python MCP Server
Code Execution
File Management
Python Environment Management
Configurable Execution (timeouts, working directories, arguments)
Use cases of Python MCP Server
Executing Python code snippets provided by the LLM
Running Python scripts stored in files
Listing files in a directory
Reading and writing Python files
Checking the Python version and environment
FAQ from Python MCP Server
How do I resolve 'Python not found' errors?
How do I resolve 'Python not found' errors?
Ensure Python is installed and added to your system's PATH environment variable.
What should I do about permission errors?
What should I do about permission errors?
Verify that the user running the MCP server has the necessary permissions to read and write files in the specified directories.
How can I increase the execution timeout?
How can I increase the execution timeout?
Use the timeout parameter when calling the execute_python_code or execute_python_file tools to specify a longer execution time in seconds.
Where can I find the configuration files for Claude Desktop and Cline?
Where can I find the configuration files for Claude Desktop and Cline?
The configuration files are located in the application support directories for each application, as detailed in the README.
What are the available tools?
What are the available tools?
The available tools are: execute_python_code, execute_python_file, check_python_version, list_python_files, read_python_file, and write_python_file. Each tool has specific parameters as described in the README.