IoT

Browse all content tagged with IoT

Mcp servers

aranet4 MCP Server

The aranet4 MCP Server enables seamless management, data collection, and analysis for Aranet4 CO2 sensor devices. It bridges AI workflows with real-time and historical environmental data, providing tools for device scanning, configuration, and visualization tailored for FlowHunt and other AI automation platforms.

MCP IoT CO2 Sensors +4
• 4 min read
Mcp servers

Litmus MCP Server

The Litmus MCP Server enables seamless integration between Large Language Models (LLMs) and Litmus Edge for industrial device configuration, monitoring, and management. Leverage real-time device data, automate workflows, and streamline IoT operations with this official server.

IoT Edge Computing Device Management +3
• 4 min read
Mcp servers

InfluxDB MCP Server

The InfluxDB MCP Server provides seamless, AI-powered access to InfluxDB via the OSS API v2. It enables developers and AI assistants to query, write, and manage time-series data using a standardized interface—empowering automation, analytics, and smarter workflows in FlowHunt.

MCP InfluxDB Time-Series +5
• 5 min read
Glossary

Federated Learning

Federated Learning is a collaborative machine learning technique where multiple devices train a shared model while keeping training data localized. This approach enhances privacy, reduces latency, and enables scalable AI across millions of devices without sharing raw data.

Federated Learning Machine Learning AI +3
• 3 min read

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