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FrameworX provides practical AI capabilities for industrial automation.
Platform Overview | AI Integration, from AI-assisted solution building to runtime data queries, machine learning deployment, and portable AI skills.
Why AI Integration Matters
Engineers using AI copilot tools with FrameworX report productivity improvements of 2× to 10× for configuration tasks, depending on complexity. This isn't a marginal improvement; it's a fundamental change in how industrial applications are built.
FrameworX provides practical AI integration across
threefour areas: design-time assistance, runtime queries,
andmachine learning deployment, and portable AI skills for Claude and other AI agents.
The Next Frontier: A decade ago, the industry focused on OT-IT integration. Now the frontier is OT-AI integration. The same architectural decisions that enabled FrameworX OT-IT integration — consistent namespaces, managed code, open interfaces — now enable native AI integration.
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AI Capabilities Overview
| Capability | What It Does | Use For | Unique Features |
|---|---|---|---|
| MCP for Designer | AI models help build solutions | Faster configuration, bulk object creation | AI Tools (Claude, Copilot) directly manage the Designer UI. 16 tools for creating all solution elements with visual feedback. |
| MCP for Runtime | AI models query live solution data | Dashboards, troubleshooting, automated reports | AI tools (Claude, Copilot) directly |
| access runtime data. Visual feedback: orange border and badge when AI is connected. |
| Claude Skill | Gives Claude product awareness without MCP connection | General questions, getting started, MCP setup guidance | Open standard (agentskills.io). Works in Claude.ai, Claude Desktop, Claude Code, and compatible AI agents. Auto-detects MCP tools and hands off when available. |
| FrameworX Skills Library | Playbook patterns for complex application builds | Alarm pipelines, edge ML, MQTT integration | Comprehensive build playbooks that MCP tools use to guide solution construction for specific industrial patterns. |
| ML Integration | Deploy trained ML models | Anomaly detection, predictive maintenance | Use directly ML.NET 4.0 in C# |
Use directly all Python 3.7+ libraries | ||
| Ask FrameworX Docs | ChatGPT trained on documentation | Get help, ask questions. |
Sidebar shortcut: AI Ask Docs |
| Leverages OpenAI tools |
MCP for Designer is a game changer for how solutions are developed.
If that is new for you, see
[MCP For Designer In Action]Understanding the Two Kinds of "Skills"
FrameworX uses the word "skill" in two distinct contexts. Understanding the difference helps you get the most from AI integration.
| Claude Skill | FrameworX Skills Library | |
|---|---|---|
| What it is | A portable SKILL.md file you install in Claude (or other AI agents) | Solution-building playbooks inside FrameworX that guide MCP tools through complex patterns |
| Where it lives | In your AI agent (Claude Desktop, Claude Code, GitHub Copilot, Cursor) | In the FrameworX documentation, accessed by MCP tools via search_docs |
| What it does | Gives Claude basic product awareness and MCP setup guidance. Steps aside when MCP tools connect. | Provides detailed step-by-step build instructions for specific industrial patterns (alarm pipelines, edge ML, MQTT integration). |
| Who uses it | Anyone asking Claude about FrameworX — even without Designer installed | MCP tools during active solution building — requires Designer and an open solution |
| Standard | Agent Skills open standard (works across AI platforms) | FrameworX-specific (accessed through MCP tool search_docs(label='skill')) |
In short: The Claude Skill is the entry point — it helps you get started and connects you to MCP tools. The FrameworX Skills Library is the deep knowledge — it helps MCP tools build complex solutions once you're connected.
MCP for Designer: AI-Assisted Configuration
Let AI help you build solutions faster.
What AI can do:
- Create Tags, Displays, Alarms, Devices, and all solution objects
- Generate Canvas and Dashboard displays with proper patterns
- Search protocols by equipment name (Siemens, Allen-Bradley, Modbus)
- Delete and rename objects with safe refactoring (cross-references stay valid)
- Find where any object is used — visual cross-reference in Designer
- Access documentation, skills, and download example solutions
- Log in to secured solutions via designer_action('logon')
Key Features:
- Visual Indicator — Orange border and "AI MCP" badge show when AI is connected
- MCP Category System — Tracks AI-created vs manually-created objects
- Wizard Symbols — Pre-built industrial symbols (BLOWER, MOTOR, PUMP, TANK, VALVE)
- Protocol Search — Fuzzy matching finds protocols by vendor name
- Security Integration — Permission-based access: AI sees current user's edit permissions and can authenticate when needed
AI knowledge of FrameworX
When using MCP for Designer tools, it automatically feeds the AI chat session with a summary of the document: [→ AI Product Knowledge (Platform Architecture Reference)]
When working with chat sessions and AI models not using our MCP for Designer tools, it may be useful to feed that page to AI.
→ See [MCP for Designer In Action] → See [AI MCP for Designer Connector]
MCP for Runtime: Query Live Data
Connect AI models like Claude to your running solution.
What AI can do:
- Read tag values from the UNS
- Query alarms and historian
- Create custom queries via Script Classes
→ See [AI MCP for Runtime Connector]
ML.NET Integration: Deterministic Machine Learning
Deploy trained models for consistent, repeatable results.
Use cases:
- Anomaly detection
- Predictive maintenance
- Quality prediction
Additional to ML in C#, the Python 3 native integration allows the usage of all Python analytics libraries.
→ See [AI ML Integration Connector] → See [Python .NET Integration]
Ask FrameworX Docs
ChatGPT trained on FrameworX documentation.
Click here → AI Ask Docs, or use the shortcut on the left sidebar.
Reference
→ For the technologies that enable this, see [AI-Ready by Design]
MCP for Designer: AI-Assisted Configuration
Let AI help you build solutions faster.
What AI can do:
- Create Tags, Displays, Alarms, Devices, and all solution objects
- Generate Canvas and Dashboard displays with proper patterns
- Search protocols by equipment name (Siemens, Allen-Bradley, Modbus)
- Track changes, cross-references, and audit trails
- Access documentation and download example solutions
Key Features:
- Visual Indicator — Orange border and "AI MCP" badge show when AI is connected
- MCP Category System — Tracks AI-created vs manually-created objects
- Wizard Symbols — Pre-built industrial symbols (BLOWER, MOTOR, PUMP, TANK, VALVE)
- Protocol Search — Fuzzy matching finds protocols by vendor name
AI
knowledgeKnowledge of FrameworX
When using MCP MCP for Designer tools, it automatically feeds the AI chat session with a summary of the document:
? AI Product Knowledgethe platform architecture — covering the unified model, tool usage patterns, build recipes, and behavioral principles. This means Claude reaches expert-level understanding of FrameworX immediately, without any manual setup.
When working with chat session sessions and AI models not using our MCP for Designer tools, it may useful to feed that page to AI. the Claude Skill provides baseline product knowledge, and the Platform Architecture Reference page can be fed to any AI for deeper context.
→ See MCP for Designer In Action
→ See AI MCP for Designer Connector
Claude Skill: Portable AI Product Knowledge
The FrameworX Claude Skill gives Claude (and other AI agents that support the Agent Skills open standard) baseline knowledge of the FrameworX platform without requiring an MCP connection.
What the skill provides:
- Product awareness — Claude understands what FrameworX is, its capabilities, and key resources
- MCP detection — automatically checks if MCP Designer tools are available and hands off to them
- Setup guidance — walks users through MCP tools installation when tools are not connected
How it works:
- When MCP tools are connected — the skill steps aside and lets the MCP tools deliver full operational context
- When MCP tools are not connected — the skill answers general questions and guides users to install the MCP tools
→ See Claude Skill Setup for installation instructions and download
FrameworX Skills Library
The FrameworX Skills Library contains comprehensive playbooks for complex application patterns. These are not files you install in Claude — they are documentation pages that the MCP tools access automatically via search_docs(label='skill') when building solutions that require specific industrial patterns.
Available skills:
- — End-to-end alarm configuration
- — Machine learning at the edge
- — MQTT and SparkplugB integration
→ See for creating your own FrameworX skills
MCP for Runtime: Query Live Data
Connect AI models like Claude to your running solution.
What AI can do:
- Read tag values from the UNS
- Query alarms and historian
- Create custom queries via Script Classes
→ See AI MCP for Runtime Connector
ML.NET Integration: Deterministic Machine Learning
Deploy trained models for consistent, repeatable results.
Use cases:
- Anomaly detection
- Predictive maintenance
- Quality prediction
Additional In addition to ML in C#, the Python 3 native integration allows the usage of all Python analytics libraries.
→ See AI ML Integration Connector
→ See Python .NET Integration
Ask FrameworX Docs
ChatGPT trained on FrameworX documentation.
Click here → AI Ask Docs, or use the shortcut on the left sidebar.
Reference
→ For the technologies enables this, see AI-Ready by Design
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