PyWellen MCP
Advanced Features
LLM Optimization Tools
Overview
Tools
query_natural_language
signal_summarize
recommend_related_signals
docs_get_started
docs_tool_guide
Best Practices
Token Efficiency
Query Interpretation Patterns
Context Window Management
Integration with Workflows
Limitations
See Also
Export and Integration Tools
Overview
Export Tools
export_to_csv
export_hierarchy_tree
export_signal_data
Configuration Tools
load_signal_list
save_signal_list
Integration Tools
integration_launch_viewer
integration_watch_file
integration_generate_gtkwave_save
Common Workflows
Workflow 1: Export for Analysis
Workflow 2: Save and Share Signal Lists
Workflow 3: Launch Viewer with Pre-configured Signals
Workflow 4: Live Simulation Monitoring
Best Practices
File Paths
Configuration Files
External Tool Integration
Performance
File Format Recommendations
CSV Export
JSON Export
YAML Export
Limitations
See Also
Deployment
Deployment Guide
Prerequisites
System Requirements
Dependencies
Installation
From PyPI
From Source
Using IVPM
Configuration
Environment Variables
Configuration File
Running the Server
Standalone Mode
With MCP Client
Docker Deployment
Production Considerations
Performance Tuning
Memory Management
Security
File Access Control
Command Injection Protection
Network Security
Monitoring
Logging
Health Checks
Metrics to Monitor
Troubleshooting
Common Issues
Debug Mode
Performance Debugging
Backup and Recovery
Session State
Configuration Backup
Disaster Recovery
Upgrading
Version Compatibility
Upgrade Process
Best Practices
Support
See Also
PyWellen MCP
Index
Index