---
title: "AI Advisor MCP Server"
slug: "ai-advisor-mcp-server"
description: "Integrate Kentik’s AI Advisor MCP Server for seamless network data queries, enabling natural language interactions and multi-turn conversations with AI agents."
tags: ["AI Advisor", "Model Context Protocol", "Network Data Queries"]
status: "update"
updated: 2026-11-10T03:42:58Z
published: 2026-11-10T03:42:58Z
canonical: "kb.kentik.com/ai-advisor-mcp-server"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://kb.kentik.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Advisor MCP Server

This article provides an overview of Kentik’s **AI Advisor MCP Server** , which lets you integrate [**AI Advisor**](/v1/docs/ai-advisor) into external AI agents.

> [!NOTE]
> **Note**: If you have an Infoblox account and a Kentik account, you can ask questions about your Infoblox data directly from AI Advisor chats (requires Kentik administrator setup, see [**Infoblox Integration**](/v1/docs/ai-advisor#infoblox-integration)).

## **What Is MCP?**

The **Model Context Protocol** **(MCP)** is an industry standard for AI agents to access data and interact with external systems. It's supported by major AI platforms including:

- [**Claude Desktop**](https://code.claude.com/docs/en/desktop-quickstart) **(Anthropic)**
- [**GitHub Copilot**](https://docs.github.com/en/copilot/how-tos/copilot-in-your-ide/customize-copilot/extend-copilot-with-tools-and-context/extend-copilot-chat-with-mcp)
- [**OpenAI Agents**](https://developers.openai.com/api/docs/guides/agents)
- **Custom AI agent frameworks**: LangGraph, Google ADK, LlamaIndex, etc.

> [!TIP]
> **Tip**: Already familiar with MCP? Jump straight to [**Getting Started**](/v1/docs/aia-mcp-getting-started) and start setting up `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**: Lets you ask questions about your network in conversational language
- **Multi-Turn Conversations**: Maintains context across multiple questions
- **Real-Time Progress**: Shows AI Advisor's reasoning process as it works
- **Asynchronous Processing**: Handles long-running queries efficiently
- **Session Management**: Lets you review and continue previous conversations
- **Flexible Authentication**: Lets you authenticate with OAuth or an API token

## **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**](https://www.kentik.com/blog/7-real-ways-to-modernize-netops-with-kentik-ai-advisor/)-related examples:

| Operational Goal | Example Prompt |
| --- | --- |
| **Health Monitoring** | "Show me all devices with high CPU usage." |
| **Troubleshooting** | "Check which interfaces have errors in the last hour." |
| **Traffic Analysis** | "What is the traffic volume on my external interfaces?" |

## **Next Steps**

To begin using Kentik’s AI Advisor MCP server, complete one or more of the following:

- Follow the [**Getting Started**](/v1/docs/aia-mcp-getting-started) guide to go over prerequisites.
- Modify one of the [**Configuration Examples**](/v1/docs/aia-mcp-configuration-examples) for your agent or environment of choice, using OAuth or an API token, and to connect the MCP server.
- Study the additional background information in [**Kentik AI Advisor**](/v1/docs/ai-advisor), [**Kentik AI Advisor API**](/v1/docs/ai-advisor-api), and [**MCP Specification**](https://modelcontextprotocol.io/).