Discover all available Python environments, including system Python and conda environments, using this tool to manage and interact with your Python setups effectively.
Identify installed Python packages in a specific environment using the MCP Python Interpreter. Specify the environment name to retrieve package details effectively.
Install or upgrade Python packages in specified environments using the MCP Python Interpreter. Manage dependencies efficiently for custom or system-wide Python setups.
Install Python packages in a persistent REPL environment using the MCP protocol. Specify the package name to enable Python runtime customization and execution.
Discover available Python environments including system Python and conda environments to manage and select appropriate interpreters for code execution.
A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
A starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.