enhanced-mcp-tools/examples/demo_mcp_asciinema.py
Ryan Malloy 1d199a943d 🛡️ SACRED TRUST: Complete safety framework implementation & validation
 COMPREHENSIVE SAFETY FRAMEWORK:
• Package-level safety notices with SACRED TRUST language
• Server-level LLM safety protocols with specific refusal scenarios
• Class-level safety reminders for AI assistants
• Tool-level destructive operation warnings (🔴 DESTRUCTIVE markers)
• Visual safety system: 🔴🛡️🚨 markers throughout codebase
• Emergency logging infrastructure with proper escalation
• Default-safe operations (dry_run=True for destructive tools)

🔒 DESTRUCTIVE OPERATION PROTECTIONS:
• bulk_rename: LLM safety instructions + dry_run default
• search_and_replace_batch: Comprehensive safety warnings
• All destructive tools require preview before execution
• Clear REFUSE scenarios for AI assistants

📚 COMPREHENSIVE DOCUMENTATION:
• SACRED_TRUST_SAFETY.md: Complete safety philosophy & implementation guide
• IMPLEMENTATION_COMPLETE.md: Project completion status
• EMERGENCY_LOGGING_COMPLETE.md: Logging infrastructure details
• UV_BUILD_GUIDE.md: Modern Python project setup
• Multiple implementation guides and status docs

🔧 PROJECT MODERNIZATION:
• Migrated from setup.py/requirements.txt to pyproject.toml + uv
• Updated dependency management with uv.lock
• Enhanced test suite with comprehensive coverage
• Added examples and demo scripts

 VALIDATION COMPLETE: All SACRED_TRUST_SAFETY.md requirements implemented
🎯 Sacred Trust Status: PROTECTED
🚨 User Safety: PARAMOUNT
🔐 System Integrity: PRESERVED

The human trusts AI assistants to be guardians of their system and data.
This framework ensures that trust is honored through comprehensive safety measures.
2025-06-23 11:58:48 -06:00

154 lines
5.4 KiB
Python

#!/usr/bin/env python3
"""
Example: How the MCP Asciinema Integration Works
This shows the actual API calls that would be made when using
the Enhanced MCP Tools asciinema integration.
"""
import asyncio
import json
from datetime import datetime
# Simulated MCP tool calls (these would be real when the MCP server is running)
async def demonstrate_mcp_asciinema_integration():
"""Demonstrate the MCP asciinema tools that we just used conceptually"""
print("🎬 MCP Asciinema Integration - Tool Demonstration")
print("=" * 60)
print()
# 1. Start recording
print("📹 1. Starting asciinema recording...")
recording_result = {
"tool": "asciinema_record",
"parameters": {
"session_name": "enhanced_mcp_project_tour",
"title": "Enhanced MCP Tools Project Tour with Glow",
"max_duration": 300,
"auto_upload": False,
"visibility": "public"
},
"result": {
"recording_id": "rec_20250623_025646",
"session_name": "enhanced_mcp_project_tour",
"recording_path": "~/.config/enhanced-mcp/recordings/enhanced_mcp_project_tour_20250623_025646.cast",
"metadata": {
"terminal_size": "120x30",
"shell": "/bin/bash",
"user": "rpm",
"hostname": "claude-dev",
"created_at": datetime.now().isoformat()
}
}
}
print(f"✅ Recording started: {recording_result['result']['recording_id']}")
print(f"📁 Path: {recording_result['result']['recording_path']}")
print()
# 2. The actual terminal session (what we just demonstrated)
print("🖥️ 2. Terminal session executed:")
print(" • cd /home/rpm/claude/enhanced-mcp-tools")
print(" • ls -la (explored project structure)")
print(" • ls enhanced_mcp/ (viewed MCP modules)")
print(" • glow README.md (viewed documentation)")
print(" • glow docs/MODULAR_REFACTORING_SUMMARY.md")
print()
# 3. Search recordings
print("🔍 3. Searching recordings...")
search_result = {
"tool": "asciinema_search",
"parameters": {
"query": "project tour",
"session_name_pattern": "enhanced_mcp_*",
"visibility": "all",
"limit": 10
},
"result": {
"total_recordings": 15,
"filtered_count": 3,
"returned_count": 3,
"recordings": [
{
"recording_id": "rec_20250623_025646",
"session_name": "enhanced_mcp_project_tour",
"title": "Enhanced MCP Tools Project Tour with Glow",
"duration": 245,
"created_at": datetime.now().isoformat(),
"uploaded": False,
"file_size": 15420
}
]
}
}
print(f"✅ Found {search_result['result']['filtered_count']} matching recordings")
print()
# 4. Generate playback URLs
print("🎮 4. Generating playback information...")
playback_result = {
"tool": "asciinema_playback",
"parameters": {
"recording_id": "rec_20250623_025646",
"autoplay": False,
"theme": "solarized-dark",
"speed": 1.0
},
"result": {
"recording_id": "rec_20250623_025646",
"playback_urls": {
"local_file": "file://~/.config/enhanced-mcp/recordings/enhanced_mcp_project_tour_20250623_025646.cast",
"local_web": "http://localhost:8000/recordings/enhanced_mcp_project_tour_20250623_025646.cast"
},
"embed_code": {
"markdown": "[![asciicast](recording.svg)](https://example.com/recording)",
"html_player": '<asciinema-player src="recording.cast" autoplay="false" theme="solarized-dark"></asciinema-player>'
},
"player_config": {
"autoplay": False,
"theme": "solarized-dark",
"speed": 1.0,
"duration": 245
}
}
}
print("✅ Playback URLs generated")
print(f"🔗 Local: {playback_result['result']['playback_urls']['local_file']}")
print()
# 5. Upload to asciinema.org (optional)
print("☁️ 5. Upload capability available...")
upload_info = {
"tool": "asciinema_upload",
"features": [
"🔒 Privacy controls (public/private/unlisted)",
"📊 Automatic metadata preservation",
"🎯 Custom titles and descriptions",
"🌐 Direct sharing URLs",
"🎮 Embeddable players"
]
}
for feature in upload_info["features"]:
print(f" {feature}")
print()
print("🎯 MCP Asciinema Integration Summary:")
print("=" * 60)
print("✅ Professional terminal recording with metadata")
print("✅ Searchable recording database")
print("✅ Multiple playback options (local/web/embedded)")
print("✅ Privacy controls and sharing options")
print("✅ Integration with asciinema.org ecosystem")
print("✅ Perfect for demos, tutorials, and command auditing")
print()
print("📚 All tools documented in README.md with MCP Inspector guide!")
if __name__ == "__main__":
asyncio.run(demonstrate_mcp_asciinema_integration())