Model Context Protocol

Manusis4 connects with any AI on the market.

With our native MCP server, your favourite AI — Claude, GPT, Gemini or any other — can now query, analyse and act on your operation's asset data in real time.

Manusis4
Manusis4
MCP
Claude
Claude
OpenAI
OpenAI
Gemini
Gemini
Manus
Manus
Copilot
Copilot

THE PROTOCOL

What is MCP — Model Context Protocol?

MCP is an open protocol that allows language models (LLMs) to connect to external data sources and tools in a standardised way. Instead of each AI needing its own custom integration with each system, MCP creates a universal language between AIs and platforms.

🔌

Standardised connection

MCP defines a universal communication protocol. Any MCP-compatible AI can connect to Manusis4 without custom development.

⚡

Real-time data

The AI queries real data from your operation — assets, work orders, inventory, indicators — at the moment the question is asked.

🔒

Secure and controlled

You define which data the AI can access. Authentication, permissions and access logs ensure ISO 27001 compliance.

HOW IT WORKS

How Manusis4 MCP works

1

You ask your preferred AI

"Which asset has the highest MTTR in the last 30 days?" — in natural language, in Claude, GPT or any compatible AI.

2

The AI queries Manusis4's MCP server

Via the MCP protocol, the AI makes a structured call to Manusis4, specifying what it needs — order history, criticality data, inventory, etc.

3

Manusis4 returns contextualised data

The MCP server queries the database in real time, applies permission rules and returns the relevant data to the AI.

4

The AI delivers the answer with real context

Not a generic answer — an analysis based on real data from your operation. Recommendations with data, not assumptions.

NEXT STEP

Want to connect your AI to Manusis4?

In 30 minutes we show how your favourite AI starts
answering with real data from your operation.