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# MCP Python Interpreter
A Model Context Protocol (MCP) server that allows LLMs to interact with Python environments, read and write files, execute Python code, and manage development workflows.
## Features
- **Environment Management**: List and use different Python environments (system and conda)
- **Code Execution**: Run Python code or scripts in any available environment
- **Package Management**: List installed packages and install new ones
- **File Operations**:
- Read files of any type (text, source code, binary)
- Write text and binary files
- **Python Prompts**: Templates for common Python tasks like function creation and debugging
## Installation
You can install the MCP Python Interpreter using pip:
```bash
pip install mcp-python-interpreter
```
Or with uv:
```bash
uv install mcp-python-interpreter
```
## Usage with Claude Desktop
1. Install [Claude Desktop](https://claude.ai/download)
2. Open Claude Desktop, click on menu, then Settings
3. Go to Developer tab and click "Edit Config"
4. Add the following to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"mcp-python-interpreter": {
"command": "uvx",
"args": [
"mcp-python-interpreter",
"--dir",
"/path/to/your/work/dir",
"--python-path",
"/path/to/your/python"
],
"env": {
"MCP_ALLOW_SYSTEM_ACCESS": 0
},
}
}
}
```
For Windows:
```json
{
"mcpServers": {
"python-interpreter": {
"command": "uvx",
"args": [
"mcp-python-interpreter",
"--dir",
"C:\\path\\to\\your\\working\\directory",
"--python-path",
"/path/to/your/python"
],
"env": {
"MCP_ALLOW_SYSTEM_ACCESS": "0"
},
}
}
}
```
5. Restart Claude Desktop
6. You should now see the MCP tools icon in the chat interface
The `--dir` parameter is **required** and specifies where all files will be saved and executed. This helps maintain security by isolating the MCP server to a specific directory.
### Prerequisites
- Make sure you have `uv` installed. If not, install it using:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
- For Windows:
```powershell
powershell -ExecutionPolicy Bypass -Command "iwr -useb https://astral.sh/uv/install.ps1 | iex"
```
## Available Tools
The Python Interpreter provides the following tools:
### Environment and Package Management
- **list_python_environments**: List all available Python environments (system and conda)
- **list_installed_packages**: List packages installed in a specific environment
- **install_package**: Install a Python package in a specific environment
### Code Execution
- **run_python_code**: Execute Python code in a specific environment
- **run_python_file**: Execute a Python file in a specific environment
### File Operations
- **read_file**: Read contents of any file type, with size and safety limits
- Supports text files with syntax highlighting
- Displays hex representation for binary files
- **write_file**: Create or overwrite files with text or binary content
- **write_python_file**: Create or overwrite a Python file specifically
- **list_directory**: List Python files in a directory
## Available Resources
- **python://environments**: List all available Python environments
- **python://packages/{env_name}**: List installed packages for a specific environment
- **python://file/{file_path}**: Get the content of a Python file
- **python://directory/{directory_path}**: List all Python files in a directory
## Prompts
- **python_function_template**: Generate a template for a Python function
- **refactor_python_code**: Help refactor Python code
- **debug_python_error**: Help debug a Python error
## Example Usage
Here are some examples of what you can ask Claude to do with this MCP server:
- "Show me all available Python environments on my system"
- "Run this Python code in my conda-base environment: print('Hello, world!')"
- "Create a new Python file called 'hello.py' with a function that says hello"
- "Read the contents of my 'data.json' file"
- "Write a new configuration file with these settings..."
- "List all packages installed in my system Python environment"
- "Install the requests package in my system Python environment"
- "Run data_analysis.py with these arguments: --input=data.csv --output=results.csv"
## File Handling Capabilities
The MCP Python Interpreter now supports comprehensive file operations:
- Read text and binary files up to 1MB
- Write text and binary files
- Syntax highlighting for source code files
- Hex representation for binary files
- Strict file path security (only within the working directory)
## Security Considerations
This MCP server has access to your Python environments and file system. Key security features include:
- Isolated working directory
- File size limits
- Prevented writes outside the working directory
- Explicit overwrite protection
Always be cautious about running code or file operations that you don't fully understand.
## License
MIT
