Bridge industrial data with enterprise, cloud, and AI systems.
Connectors → Standard | Vertical | Automation | Factory | Databases | IT
AI Integration Capabilities
FrameworX provides three AI integration approaches, each serving different use cases:
MCP Services — AI/LLM Direct Integration
Model Context Protocol (MCP) enables AI language models like Claude to directly connect and interact with FrameworX solutions. Two separate MCP services are available:
| Service | Connects To | Purpose | Use Cases |
|---|---|---|---|
| AI Runtime | TServer.exe | Query live data from running solutions | AI-powered dashboards, intelligent troubleshooting, automated reporting |
| AI Designer | Designer.exe | Build and configure solutions with AI assistance | Accelerated development, bulk object creation, configuration validation |
Key Distinction: AI Runtime operates at execution time (live data). AI Designer operates at configuration time (building solutions).
→ See [AI Runtime Connector](AI Runtime Connector) and [AI Designer Connector](AI Designer Connector)
ML.NET Integration — Deterministic Machine Learning
Deploy trained machine learning models that provide consistent, repeatable results for pattern recognition, anomaly detection, and predictive maintenance.
→ See AI ML Integration Connector
Cloud & Enterprise Connectors
Additional connectors in this section enable integration with cloud platforms (AWS IoT, Azure IoT Hub, Snowflake) and enterprise systems.
In this section...