Many enterprises and businesses are looking to integrate AI agents together to standardize workflows and front ends. To help customers achieve that goal and make Kentik data more accessible to other workflows, Kentik AI Advisor now supports the Model Context Protocol (MCP), enabling seamless integration with AI agents and development frameworks like Claude Desktop, GitHub Copilot, and others.

What is MCP?

The Model Context Protocol is an emerging industry standard for AI agent access to data and interaction with external systems. It's supported by all major AI agents and development frameworks, making it easy to extend AI capabilities with specialized tools and data sources.

Key Benefits

• Standardized Integration - MCP is becoming the industry standard for AI agent integrations, ensuring broad compatibility and future-proofing your workflows
• Plug & Play Simplicity - Integrate AI Advisor into your existing AI agents and workflows without complex API implementations
• Multi-turn Conversations - Full support for contextual follow-up questions and session management, enabling natural back-and-forth interactions
• Real-time Progress - See AI Advisor's reasoning process in real-time as it analyzes your network

How It Works

The Kentik-hosted MCP server provides tools that enable AI assistants to:

• Ask natural language questions about your network
• Maintain conversation context across multiple questions
• Review full conversation history from any session

Simply configure your MCP-compatible AI agent with your Kentik API credentials and the MCP endpoint:

US Cluster: https://api.kentik.com/mcp
EU Cluster: https://api.kentik.eu/mcp

Required HTTP Headers:

• X-CH-Auth-Email: email@company.com
• X-CH-Auth-API-Token: api-token

Available Tools

The MCP server exposes three core tools:

1. ask_question - Submit a new question to AI Advisor
2. ask_followup - Continue a conversation with follow-up questions
3. get_session_history - Retrieve full conversation history

Example Use Cases

Network questions show up everywhere: incident channels, postmortems, capacity reviews, security investigations. Here are some common ways AI Advisor MCP can help you integrate network intelligence into other places:

• Network Operations - Integrate AI Advisor into your NOC workflows and automation tools
• Custom Dashboards - Build custom interfaces that leverage AI Advisor's intelligence
• Development Workflows - Use AI Advisor directly from your IDE with Claude Code or GitHub Copilot
• Slack Bots - Create custom Slack integrations for team collaboration

Getting Started

Check out our Knowledge Base documentation for detailed setup instructions, including:

• Configuration examples for Claude Desktop, GitHub Copilot, and other MCP clients
• Authentication setup
• Best practices and troubleshooting tips

Questions or feedback? Reach out to your Kentik account team or contact support.