Introducing the New Relic MCP Server: enabling seamless agentic integrations for observability insights

The Shift from Chatbots to Agents: Why Observability Must Adapt

For years, AI was primarily a chat interface. But since the launch of ChatGPT, the industry is rapidly moving towards AI that served as an analyst offering insights, to agentic AI—autonomous systems that can not only understand your operational data but also act on it. This shift presents an opportunity: how do you safely and reliably connect your most critical business workflows and data  powerful, observability focused AI tools ? 

Today, we are thrilled to introduce the New Relic AI Model Context Protocol (MCP) Server—it opens up a standardized way of enabling a powerful ecosystem of agents that fuel advanced agentic workflows.

What is the New Relic AI MCP Server?

The Model Context Protocol (MCP) is an open standard that creates a unified, bi-directional channel between large language models (LLMs) and external tools. (To learn more about the protocol, check out our previous post on Introducing MCP Support).

Before MCP, connecting AI agents to a business tool (like Salesforce, a SQL database, or a proprietary API) required a custom, one-off integration that had to rebuild that integration from scratch.

The New Relic AI MCP Server opens up a standardized way of enabling a powerful ecosystem of agents that fuel advanced agentic workflows. This allows New Relic to bring intelligent insights to any external MCP-compliant AI agent, eliminating the need for custom, brittle, one-off integrations. The MCP Server now provides actionable observability data where users work:

1. Seamless Ecosystem Integration: This integration allows popular AI assistants like GitHub Copilot, ChatGPT, Claude, and Cursor to access detailed New Relic observability data directly, embedding critical insights into engineers' workflows.
2. Observability Insights in Your Workflow: Get real-time insights and root cause analysis directly where you work, completely eliminating context switching.
3. Intelligent Decision-Making: Leverage RAG and GenAI to process vast data, offering predictive insights and clear, prioritized recommendations for action.

Moving Beyond Simple Data Retrieval

The New Relic AI MCP Server is more than just a data connector, it's an action engine. It’s the mechanism that allows an AI agent to ask a human-language question about the current state of a service or application, retrieve the relevant metrics, traces, and logs from New Relic and bring all the insights to the right people at the right time.

This capability is essential for creating truly autonomous operations that save engineering time and reduce downtime..

A Crucial Step for Industry Ecosystems

We recognize that the future of agentic AI is collaborative. Our commitment to the open MCP standard ensures that New Relic is positioned within the largest ecosystem of developer tools. As validated by major industry platforms like Google’s Gemini CLI, adoption of the MCP is rapidly becoming the standard for modern workflow integration. By adopting the New Relic AI MCP Server, partners and customers gain a standardized, reliable, and scalable way to integrate New Relic’s full observability power into their custom AI solutions.

Next steps

Ready to get started? 

The New Relic MCP Server is now in Public Preview—join today to bring critical observability insights into your agentic workflows!

Learn more here about AIops and MCP.

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