chuk-virtual-shell 0.1.6

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Chuk Virtual Shell 🐚

A powerful virtual shell environment with MCP (Model Context Protocol) integration, perfect for AI agents and sandboxed execution environments.

🌟 Overview

Chuk Virtual Shell provides a complete POSIX-like virtual shell environment designed specifically for AI agents and automation:

• 🤖 MCP Server Integration: Full Model Context Protocol support for AI agents like Claude, Cline, and Aider
• 🔄 Persistent Sessions: Stateful command execution with maintained context across interactions
• 🔒 User Isolation: Complete session and task isolation between users
• 📁 Virtual Filesystem: Pluggable storage providers (memory, SQLite, S3)
• 🎯 50+ Built-in Commands: Comprehensive Unix-like command set
• ⚡ Advanced I/O: Full pipeline, redirection, and here-doc support
• 🏖️ Pre-configured Sandboxes: Ready-to-use secure environments
• 🔌 Extensible Architecture: Easy to add custom commands and storage providers

🚀 Quick Start

Installation

# Install with uv (recommended)
uv pip install chuk-virtual-shell

# Or with pip
pip install chuk-virtual-shell

# For MCP server functionality, install optional dependency
uv pip install chuk-virtual-shell[mcp-server]
# Or with pip
pip install chuk-virtual-shell[mcp-server]

Basic Usage

# Start interactive shell
uv run chuk-virtual-shell

# Use a pre-configured sandbox
uv run chuk-virtual-shell --sandbox ai_sandbox

# Start MCP server for AI agents
uv run python -m chuk_virtual_shell.mcp_server

MCP Integration for AI Agents

# See examples/mcp_client_demo.py for complete example
from examples.mcp_client_demo import SimpleMCPClient

client = SimpleMCPClient()
await client.start_server()

# Create isolated session
result = await client.call_tool("bash", {"command": "pwd"})
session_id = result["session_id"]

# Commands share state within session
await client.call_tool("bash", {
    "command": "export PROJECT=MyApp && mkdir -p /project/src",
    "session_id": session_id
})

# State persists across commands
result = await client.call_tool("bash", {
    "command": "echo $PROJECT && ls /project",
    "session_id": session_id
})
# Output: MyApp\nsrc

Try the Interactive Demo

# Run the complete MCP demonstration
uv run examples/mcp_client_demo.py

# Expected output shows:
# ✅ User isolation and session management
# ✅ State persistence across commands  
# ✅ Background task execution
# ✅ Multiple concurrent sessions
# ✅ Complex multi-step workflows

📚 Key Features

🤖 MCP Server Capabilities

Full Model Context Protocol implementation with user isolation:

# Available MCP tools:
- bash           # Execute shell commands with session persistence
- whoami         # Get user context and session info
- list_sessions  # List all active sessions for current user
- get_session_state  # Get session details (pwd, env, lifetime)
- destroy_session    # Clean up sessions
- get_task_output    # Get background task results
- cancel_task        # Cancel running background tasks

User Isolation Features:

• Each user gets isolated sessions and tasks
• Sessions maintain state (PWD, env vars, files) between commands
• Background task execution with streaming output
• Automatic session cleanup on disconnect
• Per-user resource limits and quotas

Advanced Shell Features via MCP:

• Full stderr redirection (2>, 2>>, 2>&1)
• Combined output redirection (&>, &>>)
• Complex pipelines and command chaining
• Quoted filename support with spaces
• All 50+ built-in shell commands available

🔄 Session Management

Stateful sessions that maintain context - essential for AI workflows:

from chuk_virtual_shell.session import ShellSessionManager
from chuk_virtual_shell.shell_interpreter import ShellInterpreter

# Create session manager
manager = ShellSessionManager(shell_factory=lambda: ShellInterpreter())

# Create persistent session
session_id = await manager.create_session()

# Commands share state
await manager.run_command(session_id, "cd /project")
await manager.run_command(session_id, "export API_KEY=secret")
await manager.run_command(session_id, "echo 'data' > file.txt")

# State persists
result = await manager.run_command(session_id, "pwd && echo $API_KEY && cat file.txt")
# Output: /project\nsecret\ndata

📋 Advanced I/O Redirection

Comprehensive redirection support (see docs/features/redirection.md):

# Output redirection
echo "Hello" > output.txt
echo "World" >> output.txt

# Input redirection  
sort < unsorted.txt > sorted.txt

# Pipelines
cat data.txt | grep "pattern" | sort | uniq > results.txt

# Here-documents (in scripts)
cat << EOF > config.yaml
server: localhost
port: 8080
EOF

# Advanced redirection
command 2> errors.txt          # Stderr redirection
command 2>&1                    # Merge stderr to stdout
command &> all_output.txt       # Combined output
command 2>> errors.txt         # Append stderr
command &>> all.txt            # Append combined output

🎭 Quoting and Escaping

Full quoting semantics (see docs/features/quoting.md):

# Single quotes - literal
echo 'Hello $USER'              # Output: Hello $USER

# Double quotes - with expansion
echo "Hello $USER"              # Output: Hello alice

# Backslash escaping
echo "Price: \$100"             # Output: Price: $100
echo file\ with\ spaces.txt     # Output: file with spaces.txt

# Mixed quoting
echo "It's"' a nice day'        # Output: It's a nice day

🏖️ Pre-configured Sandboxes

Ready-to-use secure environments:

# config/ai_sandbox.yaml - Restricted AI agent environment
environment:
  HOME: /sandbox
  USER: ai
  PATH: /bin
  SANDBOX_MODE: restricted

filesystem:
  provider: memory
  
initialization:
  - mkdir -p /sandbox/workspace
  - echo "AI Sandbox Ready" > /sandbox/README.txt

Available sandboxes:

• ai_sandbox - Restricted environment for AI code execution
• default - Balanced development environment
• readonly - Read-only exploration
• e2b - E2B.dev compatible environment
• tigris - Tigris Data S3-compatible storage

📊 Feature Matrix

Feature Category	Feature	Status	Notes
MCP Integration	MCP Server	✅	Full protocol support
	User Isolation	✅	Session & task isolation
	Background Tasks	✅	Async execution with streaming
	Session Persistence	✅	State maintained across commands
I/O Redirection	Basic pipes (|)	✅	Multi-stage pipelines
	Output redirect (>, >>)	✅	Write and append
	Input redirect (<)	✅	Read from files
	Stderr redirect (2>, 2>>)	✅	Full stderr redirection
	Combined (2>&1, &>, &>>)	✅	Merge stdout/stderr
	Here-docs (<<)	⚡	Works in script runner
Shell Operators	Chaining (&&, ||, ;)	✅	Full conditional execution
	Command substitution ($())	✅	Both syntaxes supported
	Variable expansion	✅	$VAR, ${VAR}
	Glob patterns (*, ?)	✅	Full support
Control Flow	if/then/else	✅	Conditional logic
	for/while loops	✅	Full iteration support
	case statements	✅	Pattern matching
	Functions	❌	Planned
Commands	File operations	✅	cp, mv, rm, mkdir, touch
	Text processing	✅	grep, sed, awk, sort, uniq
	File viewing	✅	cat, head, tail, more
	System utilities	✅	find, which, tree, date

Legend:

• ✅ Full Support: Complete implementation with tests
• ⚡ Partial Support: Works with limitations
• 🚧 In Development: Parser/infrastructure ready
• ❌ Not Supported: Not yet implemented

🛠️ Architecture

┌─────────────────────────────────────────────────┐
│           MCP Client (AI Agent)                 │
└─────────────────┬───────────────────────────────┘
                  │ MCP Protocol
┌─────────────────▼───────────────────────────────┐
│           MCP Server (chuk_virtual_shell)       │
│  ┌──────────────────────────────────────────┐  │
│  │  User Isolation & Session Management     │  │
│  └──────────────────────────────────────────┘  │
│  ┌──────────────────────────────────────────┐  │
│  │  Shell Interpreter & Command Executor    │  │
│  └──────────────────────────────────────────┘  │
│  ┌──────────────────────────────────────────┐  │
│  │  Virtual Filesystem (Memory/SQLite/S3)   │  │
│  └──────────────────────────────────────────┘  │
└──────────────────────────────────────────────────┘

📖 Documentation

• POSIX Compatibility Matrix - Detailed POSIX.1-2017 compliance
• MCP Integration Guide
• Session Management
• Redirection Guide
• Quoting Guide
• Command Reference
• Sandbox Configuration
• API Documentation

🧪 Testing

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=chuk_virtual_shell

# Run specific test categories
uv run pytest tests/test_mcp_server.py
uv run pytest tests/test_quoting_comprehensive.py
uv run pytest tests/test_advanced_redirection.py

Current test status: 1411 tests passing (18 skipped)

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Development Setup

# Clone the repository
git clone https://github.com/chrishayuk/chuk-virtual-shell.git
cd chuk-virtual-shell

# Install with dev dependencies
uv pip install -e ".[dev]"

# Run tests
uv run pytest

# Run linting
uv run ruff check .

# Run type checking
uv run mypy chuk_virtual_shell

🔧 Troubleshooting

MCP Server Issues

Problem: ModuleNotFoundError: No module named 'chuk_mcp_server'

Solution: Install the MCP server optional dependency:

uv pip install chuk-virtual-shell[mcp-server]
# or with pip
pip install chuk-virtual-shell[mcp-server]

Problem: MCP demo fails with JSON decode error

Solution: Ensure the MCP server dependency is installed and the server is accessible:

# Test MCP server directly
uv run python -m chuk_virtual_shell.mcp_server

# Run the interactive demo
uv run examples/mcp_client_demo.py

General Issues

Problem: Command not found errors

Solution: Ensure you're using the correct command syntax. Check available commands:

# In interactive mode
help

# Check specific command help
help ls

Problem: File permission errors

Solution: The virtual filesystem has simulated permissions. Use appropriate commands:

# Create directories with proper paths
mkdir -p /path/to/directory

# Check current working directory
pwd

📄 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

• Built for AI agents using Model Context Protocol
• Inspired by Unix shell design principles
• Virtual filesystem powered by chuk-virtual-fs

📮 Contact

• GitHub: @chrishayuk
• Issues: GitHub Issues

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Ready to give your AI agents a powerful shell environment? Get started with uv pip install chuk-virtual-shell! 🚀