AI Chat with Netdata

Chat with your infrastructure using natural language through two distinct integration architectures.

Integration Architecture

Method 1: Client-Controlled Communication (Available Now)

How it works:

1. You ask a question to your AI client
2. LLM responds with tool execution commands
3. Your AI client executes tools against Netdata Agent MCP (locally)
4. Your AI client sends tool responses back to LLM
5. LLM provides the final answer

Key characteristics:

• Your AI client orchestrates all communication
• Netdata Agent MCP runs locally on your infrastructure
• No internet access required for Netdata Agent
• Full control over data flow and privacy

Method 2: LLM-Direct Communication (Coming Soon)

How it works:

1. You ask a question to your AI client
2. LLM directly accesses Netdata Cloud MCP tools
3. LLM provides the final answer with integrated data

Key characteristics:

• LLM provider manages MCP integration
• Direct connection between LLM and MCP tools
• Netdata Cloud MCP accessible via internet
• Simplified setup, no local MCP configuration needed

Quick Comparison

Aspect	Method 1: Client-Controlled	Method 2: LLM-Direct
Availability	✅ Available now	🚧 Coming soon
Setup Complexity	Moderate (configure AI client + MCP)	Simple (just AI client)
Data Privacy	Depends on LLM provider	Depends on LLM provider
Internet Requirements	AI client needs internet, MCP is local	Both AI client and MCP need internet
Supported AI Clients	Any MCP-aware client (including those using LLM APIs)	Only clients from providers that support MCP on LLM side
Infrastructure Access	Limited to one Parent's scope	Complete visibility across all infrastructure