MCP Server is a core N3uron module designed to enable AI agents and LLMs (Large Language Models) to interact programmatically with industrial data and operations through N3uron’s DataOps and IIoT platform, using the standardized Model Context Protocol (MCP).
By implementing the Model Context Protocol, the N3uron MCP Server acts as a secure and scalable bridge between industrial systems and AI-driven applications. Any MCP-compatible client can connect directly to N3uron, allowing AI solutions—powered by cloud-based LLM APIs (such as Claude, ChatGPT, Gemini, DeepSeek, Grok, MiniMax, and Mistral) or self-hosted and local LLMs (including Llama, Ollama, Qwen, Gemma, and Phi)—to access real-time and historical industrial data, tools, and context.
This architecture unlocks advanced Industrial AI and Agentic AI workflows, enabling AI agents to reason, plan, and execute multi-step tasks autonomously across OT and IT environments—without custom integrations or manual orchestration.
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Key Capabilities Enabled by MCP Server
Natural Language Operations:
Conversational plant interaction: Operators express intent in natural language, while the AI translates requests into structured tool invocations and API calls.
On-demand outputs: Generate reports, summaries, visualizations, and dashboards directly from prompts using the same underlying industrial data and tools.
Autonomous Agentic Workflows:
Self-directed exploratory analysis: AI agents autonomously plan and execute complex investigations by combining real-time data, historical analysis, aggregations, correlations, and cross-system queries—without predefined scripts.
Intelligent root-cause analysis: Agents formulate hypotheses, gather evidence across tags, alarms, and events, test correlations, and iteratively narrow down probable causes.
Adaptive optimization campaigns: Continuous monitoring of KPIs, automated scenario evaluation, execution of improvements, and measurement of outcomes.
Smart Monitoring & Alerting:
Context-aware anomaly detection: Identification of abnormal patterns using operational context, historical baselines, and impact assessment.
Exception-focused monitoring: Automatic highlighting of what changed, what is abnormal, and what requires attention.
Proactive intervention: Early detection of emerging issues with recommended or automated corrective actions.
Accelerated Troubleshooting:
Guided investigation workflows: AI-orchestrated root-cause analysis across multiple data sources and systems, without custom scripting.
Cross-domain correlation: Automatic discovery of relationships between seemingly unrelated events across different modules and data domains.
Core Features of N3uron MCP Server:
Token-based authentication with granular access control for tools, prompts, and resources.
40+ built-in tools across 10 namespaces available immediately upon connection—no scripting or custom integration required.
Custom tool extensibility via JavaScript in the Scripting module, with full access to the N3uron API.
Prompt management for exposing predefined conversation templates that guide AI agent behavior.
Resource management for controlled access to documentation, specifications, and reference files.
Time-series analysis with raw data access and multiple aggregation methods (min, max, avg, first, last, delta, stddev), plus custom aggregations.
Intelligent tag discovery using semantic matching, metadata filtering, hierarchical browsing, and regex searches.
Comprehensive logging for monitoring tool execution, debugging, and compliance tracking.