Netdata Web Client

A self-hosted AI chat interface purpose-built for infrastructure observability, featuring advanced cost optimization and multi-provider LLM support.

Purpose-Built for Observability

The Netdata Web Client is an open-source browser-based AI assistant that connects directly to your Netdata infrastructure via MCP (Model Context Protocol). Unlike generic AI chat interfaces, it's specifically optimized for DevOps and SRE workflows with specialized system prompts and infrastructure-aware features.

Key Features

Multi-Provider LLM Support

Unified Interface - Switch between OpenAI (GPT-4), Anthropic (Claude), and Google (Gemini) models within the same conversation
Model Discovery - Automatically detects available models from each provider
Provider Arbitrage - Use cheaper models for simple queries, premium models for complex analysis

Advanced Cost Optimization

Real-time Cost Tracking - See exact costs per message and cumulative session costs
Token Accounting - Detailed breakdown of input, output, cache read, and cache write tokens
Smart Context Management:
- Automatic tool memory pruning after N conversation turns
- Large response summarization using cheaper models
- Configurable cache control strategies
- Auto-summarization when approaching context limits
Safety Limits - Prevents runaway costs with iteration and request size limits

Infrastructure-Specific Features

DevOps System Prompts - Pre-configured for infrastructure monitoring and analysis
Time-Aware Analysis - Understands relative time references ("last night", "this morning")
Multi-Chat Architecture - Run parallel investigations in separate contexts
MCP WebSocket Integration - Real-time connection to multiple Netdata instances

Professional Observability Workflow

Persistent Conversations - All chats auto-saved with full history
Accounting Logs - JSONL export for cost analysis and auditing
Error Recovery - Maintains state through API failures
Rich Formatting - Markdown, code blocks, tables, and ASCII diagrams

Cost-Effective Infrastructure Analysis

The web client's cost optimization features make AI-assisted troubleshooting affordable at scale:

Feature	Cost Impact
Tool Memory Window	-40% context size
Response Summarization	-60% for large outputs
Smart Caching	-30% for repetitive queries
Model Selection	-80% using appropriate models

Get Started

The complete source code, installation instructions, and documentation are available on GitHub:

🔗 github.com/netdata/netdata/tree/master/src/web/mcp/mcp-web-client

Quick Start

bash

# Clone and run locally
git clone https://github.com/netdata/netdata.git
cd netdata/src/web/mcp/mcp-web-client
node llm-proxy.js
# Open http://localhost:3456 in your browser

Requirements

Node.js 18+
API keys from OpenAI, Anthropic, or Google
Access to a Netdata instance with MCP enabled
Modern web browser

Why Self-Host?

Data Privacy - Your infrastructure data never leaves your control
Cost Control - Use your own API keys with transparent pay-per-use pricing
Customization - Modify prompts and behavior for your specific needs
No Vendor Lock-in - Switch LLM providers anytime

Ideal For

Cost-Conscious Teams - Pay only for what you use
Security-Focused Organizations - Keep all data within your infrastructure
Advanced Users - Full control over prompts and model selection
Multi-Cloud Environments - Connect to multiple Netdata instances

For detailed setup instructions, configuration options, and the complete feature list, visit the GitHub repository.