BlueCat MCP servers bring network intelligence to your AI assistant

Your AI assistant can summarize documents, write code, and answer technical questions. But ask it why your network is slow, and it has no idea. 

Not because the AI isn’t smart enough—but because it can’t see your network. For your AI to be truly useful in network operations, it needs secure access to the data, workflows, and operational knowledge that power your infrastructure. 

That’s why we’re now offering Model Context Protocol (MCP) servers to give AI assistants access to BlueCat products. 

In this post, we’ll first explain how our MCP servers bring network intelligence to your organization’s AI assistant or agent. Then, we’ll explore the capabilities of our first MCP servers for LiveNX and LiveWire. We’ll also highlight LiveAssist as an alternative pre-configured option. Finally, we’ll outline how you can discover and deploy our MCP servers with the same level of support you’ve come to expect from BlueCat. 

Bringing network intelligence to the AI assistant you already have 

By now, most organizations have a preferred AI assistant or agent. Whether it’s ChatGPT Enterprise, Microsoft Copilot, Claude, ServiceNow, or an internally developed platform, our goal is the same: make it easy to bring BlueCat’s network intelligence into the AI assistant you already use. 

BlueCat MCP servers provide a standard integration layer that gives your existing AI tools secure access to BlueCat products. You can customize your AI assistants to engage with BlueCat capabilities however you choose. Each MCP server exposes product-specific capabilities and operational context.

Think of our MCP servers as a portfolio of AI integrations that make BlueCat’s network intelligence accessible through a common interface. But BlueCat’s MCP servers expose far more than APIs. They provide the operational capabilities that can make AI useful in real-world network operations, including: 

• Tools for retrieving data and performing product actions 
• Workflows for investigations, troubleshooting, and operational analysis 
• Embedded guidance that brings product knowledge and networking best practices into AI interactions 
• Resources such as documentation, schemas, and operational context 

Product connectivity is secure, the architecture is developer-friendly, and interactions are in natural language.

The result is an AI assistant that can do more than answer questions. You can give your AI assistant the capability to answer operational questions about your network, investigate issues, automate workflows, and help networking teams move faster. 

MCP servers start with LiveNX and LiveWire 

Our initial MCP servers are for BlueCat’s LiveNX and LiveWire products, bringing network observability and deep packet intelligence into AI-powered workflows. You can use LiveNX’s network performance and observability insights or LiveWire’s packet-level visibility to create natural-language workflows, custom assistants, or AI-driven automation. 

Imagine asking your AI assistant: 

• Why is application performance degrading at our Chicago site? 
• Show me the traffic path for this application. 
• What changed before latency increased? 
• Can you drill into the packet capture for this conversation? 

Instead of manually navigating dashboards, correlating data across multiple tools, or piecing together the story yourself, your AI assistant can use the capabilities exposed by LiveNX and LiveWire to investigate the problem and help accelerate troubleshooting. 

This is just the beginning, as we will continue expanding MCP servers across the BlueCat portfolio. Our goal is to give AI broader access to the network intelligence, workflows, and operational context that power modern network operations. 

LiveAssist: A pre-configured AI option 

If you don’t want to connect and configure MCP servers, BlueCat also offers LiveAssist, a pre-configured AI-driven network intelligence solution with inherent domain expertise. 

LiveAssist analyzes network telemetry, alerts, and configuration data across your environment. It provides a natural language interface that lets network engineers ask questions and receive real-time, actionable insights. It identifies root causes and provides guided steps to resolve issues. 

Instead of accessing BlueCat APIs via our open MCP servers, LiveAssist is a pre-configured specialist API and large language model with everything you need already built in. 

But whether you use LiveAssist, your own AI assistant, or both, the goal is the same: To give AI secure access to the operational intelligence that already exists within your network. 

Discover, deploy, and connect through the MCP registry 

The first BlueCat MCP servers for LiveNX and LiveWire are available through the Official MCP Registry, where you can easily discover, deploy, and connect them to MCP-compatible AI platforms.

Customers and partners get an open foundation for building AI-powered applications, assistants, agents, and workflows—without locking their AI strategy into a proprietary model or ecosystem.  

Just as importantly, these are fully supported BlueCat offerings—not community projects. Customers can receive deployment assistance, configuration guidance, and troubleshooting from BlueCat through their existing support agreement. You can also leverage the Network VIP community to connect with BlueCat experts and other networking practitioners, share best practices, and learn from real-world deployments.  

The future of AI in network operations isn’t about choosing one assistant over another. Instead, it’s about giving the AI assistant you choose secure access to the intelligence that’s already on your network.  

Learn more about how MCP servers can make the network intelligence built into BlueCat products available to the AI assistant you already have.