Kentik’s AI Advisor MCP Server enables you to seamlessly integrate AI Advisor into external AI agents.
What is MCP?
The Model Context Protocol (MCP) is an emerging industry standard for AI agents to access data and interact with external systems. It's supported by major AI platforms including:
Claude Desktop (Anthropic)
Custom AI agent frameworks: LangGraph, Google ADK, LlamaIndex, etc.
TIP: Already familiar with MCP? Jump straight to Getting Started and start setting up
kentik-ai-advisor.
Key Features
This Kentik-hosted service provides a standardized interface for AI agents to query your network data and maintain conversational context.
Natural Language Queries: Ask questions about your network in conversational language
Multi-turn Conversations: Maintain context across multiple questions
Real-time Progress: See AI Advisor's reasoning process as it works
Asynchronous Processing: Handles long-running queries efficiently
Session Management: Reviews and continues previous conversations
Use Cases
To get the most out of the AI Advisor MCP Server, tailor your prompts to specific operational goals. Here are a few NetOps-related examples of how to format your requests to ensure the AI agent correctly routes the query to Kentik:
IMPORTANT: Always explicitly mention "Kentik" in your prompts to ensure your agent uses its MCP tools.
Operational Goal | Example Prompt |
|---|---|
Health Monitoring | "Show me all devices with high CPU usage from Kentik." |
Troubleshooting | "Check in Kentik which interfaces have errors in the last hour." |
Traffic Analysis | "Ask Kentik what the traffic volume is on my external interfaces." |
Next Steps
Follow the Getting Started guide to go over prerequisites.
Modify one of the Configuration Examples for your agent/env of choice and connect this MCP server.
Study the additional background information: