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Regennexus
- python
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python
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6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"regennow-regennexus": {
"command": "python",
"args": [
"-m",
"regennexus.mcp_server"
]
}
}
}RegenNexus UAP is an MCP-backed Universal Adapter Protocol that lets you connect devices, robots, apps, and AI agents with low latency and strong security. It enables seamless AI integration to control hardware, orchestrate devices, and route messages between different systems in a scalable, secure way.
How to use
You use RegenNexus MCP by running a server that exposes an MCP endpoint your client or AI agent can connect to. From there, your client can register entities, send intents and payloads, and receive responses. The MCP layer handles device discovery, secure communication, and message routing so you can focus on building higher‑level behaviors for your devices and AI workflows.
How to install
Prerequisites you need before installation are Python (3.8+), and a working internet connection to fetch packages.
Install the base RegenNexus package with Python’s package installer.
Optionally install with all features enabled to get the full MCP ecosystem, including APIs, MQTT support, and robotics integrations.
The following commands install the package and optional features.
pip install regennexus
pip install regennexus[full]
Available tools
RegenNexusProtocol
Core MCP server interface for initializing the protocol, registering entities, and sending messages between senders and recipients.
LLMBridge
Bridge to connect local LLMs such as Ollama or LM Studio to hardware via the MCP layer.
MeshNetwork
Mesh networking component for auto-discovery and peer management across devices.
get_amber_b1_plugin
Factory to obtain the Amber B1 robotic arm plugin for MCP control.
LLMConfig
Configuration structure for linking local LLM providers to the MCP server.