What prerequisites are needed?
The `uv` package manager must be installed. Installation commands for macOS/Linux and Windows are provided in the README.
MCP Python Interpreter
@yzfly
Basic information
About MCP Python Interpreter
MCP Python Interpreter: run python code. Python-mcp-server, mcp-python-server, Code Executor
MCP Python Interpreter config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMCP Python Interpreter tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Python Interpreter?
MCP Python Interpreter is a Model Context Protocol (MCP) server that enables LLMs to interact with Python environments, read and write files, execute Python code, and manage development workflows.
How to use MCP Python Interpreter?
Install the server with pip install mcp-python-interpreter or uv install mcp-python-interpreter. Configure it in Claude Desktop by adding a server entry in claude_desktop_config.json with the command uvx mcp-python-interpreter, the required --dir argument (working directory), and optional --python-path and MCP_ALLOW_SYSTEM_ACCESS environment variable. The uv package manager must be installed first.
Key features of MCP Python Interpreter
- List and use system and conda Python environments
- Run Python code or scripts in any environment
- Install and list installed Python packages
- Read text, source code, and binary files
- Write text and binary files securely
- Provides prompts for function templates, refactoring, and debugging
Use cases of MCP Python Interpreter
- Ask an LLM to list available Python environments on your system
- Execute Python code in a specific conda or system environment
- Create, read, or edit Python files and other text files
- Install new Python packages or list installed packages
- Run a Python script from a file with custom arguments
Frequently asked questions
How does the server ensure file and environment security?
The server operates within an isolated working directory set by `--dir`. It prevents writes outside that directory, limits file reads to 1MB, requires explicit overwrite confirmation, and includes an `MCP_ALLOW_SYSTEM_ACCESS` environment variable to control system access.
What Python environments can I manage?
The server can list and use both system Python environments and conda environments.
Can I install packages with this server?
Yes, the `install_package` tool allows installing Python packages in any available environment.
What file types and sizes are supported?
The server can read and write text files, source code, and binary files. File reads are limited to 1MB; binary files are shown in hex representation.
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