Mcp Agent Ot
What is Mcp Agent Ot
mcp-agent-ot is a Multi-Agent Context Processor designed for Operational Technology (OT) data, enabling the connection to various industrial data sources and processing them efficiently.
Use cases
Use cases include real-time monitoring of industrial systems, anomaly detection in operational data, context-aware Q&A for operators, and integration with edge computing solutions.
How to use
To use mcp-agent-ot, clone the repository, install the required dependencies, start the system, and access the dashboard via http://localhost:8000. Configure data sources in the data_sources.yml file.
Key features
Key features include support for MQTT, OPC UA, and Modbus sources, asynchronous agent operation, a vector database per zone using FAISS, Q&A capabilities with MiniLM, a FastAPI dashboard for monitoring, and a modular design for extensibility.
Where to use
mcp-agent-ot can be used in various fields related to industrial automation, IoT, and data processing in operational technology environments.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Agent Ot
mcp-agent-ot is a Multi-Agent Context Processor designed for Operational Technology (OT) data, enabling the connection to various industrial data sources and processing them efficiently.
Use cases
Use cases include real-time monitoring of industrial systems, anomaly detection in operational data, context-aware Q&A for operators, and integration with edge computing solutions.
How to use
To use mcp-agent-ot, clone the repository, install the required dependencies, start the system, and access the dashboard via http://localhost:8000. Configure data sources in the data_sources.yml file.
Key features
Key features include support for MQTT, OPC UA, and Modbus sources, asynchronous agent operation, a vector database per zone using FAISS, Q&A capabilities with MiniLM, a FastAPI dashboard for monitoring, and a modular design for extensibility.
Where to use
mcp-agent-ot can be used in various fields related to industrial automation, IoT, and data processing in operational technology environments.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🧠 mcp-agent-ot
Multi-Agent Context Processor for Operational Technology (OT) data.
Connects to industrial data sources (MQTT, OPC UA, Modbus), filters signals, embeds context into vector stores, and enables lightweight LLM-based Q&A — all using modular agents and Redis pub/sub.
🔧 Features
- 🛰️ Plug in MQTT, OPC UA, or Modbus sources
- 🔁 Agents run asynchronously (filtering, vectorizing, answering)
- 📦 Vector DB per zone using FAISS
- 🧠 Q&A using MiniLM (via
sentence-transformers) - 🌐 FastAPI dashboard to monitor messages and triggers
- 🧩 Modular, extensible, and modern Python packaging (
pyproject.toml)
🚀 Quick Start
1. Clone the Repo
2. Install Dependencies
3. Start the system
4. Start the dashboard
- Open browser: http://localhost:8000
🔌 Configuring Data Sources
Edit mcpai/configs/data_sources.yml:
🧱 Architecture
ingest_agent.py – connects to all OT sources dynamically
filter_agent.py – identifies meaningful anomalies (e.g., "high temp")
vector_agent.py – builds FAISS DB per zone
llm_agent.py – answers based on vector context
coordinator.py – starts everything
dashboard.py – FastAPI UI
redis_pubsub.py – pub/sub messaging layer
📄 License
MIT
🤝 Contributing
PRs and issues welcome. Designed to be extensible for edge computing and OT AI use cases.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
