# Instead of returning 10,000 rows to context:
code = '''
data = json.loads(read_file("large_dataset.json"))
filtered = [d for d in data if d['status'] == 'active']
result = {
    'total': len(data),
    'active': len(filtered),
    'sample': filtered[:5]
}
'''
execute_code(code)
# Returns only summary, not full dataset

# Find security tools (minimal tokens)
search_tools("vulnerability", category="security", detail_level="summary")

# Load full definition only when needed
get_tool_definition("web_vuln_scanner", category="security")

# Sanitize before processing
sanitize_pii("Contact john@example.com at 555-123-4567")
# Returns: "Contact [EMAIL_abc123] at [PHONE_def456]"

# Restore when needed
restore_pii("[EMAIL_abc123]")
# Returns: "john@example.com"

# Save a reusable skill
save_skill(
    name="filter_high_risk",
    code="def filter_high_risk(vulns): return [v for v in vulns if v['severity'] in ['high', 'critical']]",
    description="Filter vulnerabilities to high/critical only"
)

# Use in future code execution
code = '''
skill = load_skill("filter_high_risk")
exec(skill)
vulns = json.loads(read_file("scan_results.json"))
result = filter_high_risk(vulns)
'''

cd /mnt/agentic-system/mcp-servers/code-execution-mcp
pip install -e .

{
  "mcpServers": {
    "code-execution": {
      "command": "/mnt/agentic-system/.venv/bin/python3",
      "args": ["/mnt/agentic-system/mcp-servers/code-execution-mcp/src/code_execution_mcp/server.py"],
      "disabled": false
    }
  }
}

code-execution-mcp/
├── workspace/           # Sandboxed file storage
├── skills/              # Persistent skill definitions
├── tools_registry/      # Tool definitions for discovery
│   ├── security/        # Security tools
│   └── memory/          # Memory tools
└── src/
    └── code_execution_mcp/
        └── server.py    # Main MCP server