Bridge industrial data with enterprise, cloud, and AI systems.
Connectors → Standard | Vertical | Automation | Factory | Databases | IT
FrameworX provides three AI integration approaches, each serving different use cases:
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 |
|---|---|---|---|
| MCP for Runtime | TServer.exe | Query live data from running solutions | AI-powered dashboards, intelligent troubleshooting, automated reporting |
| MCP for Designer | Designer.exe | Build and configure solutions with AI assistance | Accelerated development, bulk object creation, configuration validation |
Key Distinction: MCP for Runtime operates at execution time (live data). MCP for Designer operates at configuration time (building solutions).
→ See AI MCP for Runtime Connector and AI MCP for Designer Connector
Deploy trained machine learning models that provide consistent, repeatable results for pattern recognition, anomaly detection, and predictive maintenance.
→ See AI ML Integration Connector
Additional connectors in this section enable integration with cloud platforms (AWS IoT, Azure IoT Hub, Snowflake) and enterprise systems.
Enable AI-powered solution configuration through Model Context Protocol integration.
Enable AI-powered industrial automation through Model Context Protocol integration.
Deploy deterministic machine learning models for industrial automation with ML.NET integration
Device compatible with the MQTT protocol
Device compatible with the MQTT protocol
CIsco Router IR1101 or models compatible for app hosting
CoreM Server data exchange
This guide will cover various methods for connecting the platform with Excel files, including using:
ODBC (Open Database Connectivity)
Network PING test
SNMP supported devices
Connection with Snowflake Cloud Database
SnowflakeDocumentation Preview
The Sorba.AI connector is currently under development and will be available soon. This documentation is a draft and is still being updated.
If you have an urgent or short-term requirement, please contact our support team.
Monitor local server performance
Tag Data Exchange using UDP protocol
Tag Data Exchange using UDP protocol
Generates simulated values for solution testing