New Relic Launches MCP Support for Holistic AI Application Observability and Performance Insights

New Relic Introduces Support for Model Context Protocol to Enhance End-to-End Observability of AI Applications SAN FRANCISCO--(BUSINESS WIRE)--New Relic, a leading provider in Intelligent Observability, has announced the launch of its support for the Model Context Protocol (MCP) within its AI Monitoring solution. This feature is seamlessly integrated with New Rellic's Application Performance Monitoring (APM), offering developers and teams managing MCP services deeper, actionable insights to identify and resolve issues in AI applications more efficiently, thereby reducing manual effort and lowering operational costs. "Since its release last year, MCP has rapidly become the standard for agentic AI," stated Siva Padisetty, New Relic's Chief Technology Officer. "Our new MCP integration is a significant advancement for those building or operating AI systems. By connecting insights from AI interactions to the broader application performance, we demystify MCP and provide a comprehensive view of the entire system. This integration is a core part of our industry-leading APM technology." MCP servers are essential for enabling AI agents to communicate with various tools and services, but they often operate as "black boxes," providing minimal visibility into the usage and performance of these tools. This lack of transparency makes it challenging for MCP providers to understand tool usage patterns, identify performance bottlenecks, or isolate error sources. Typically, gaining any insights requires complex and manual custom instrumentation, which can be both time-consuming and resource-intensive. New Relic's support for MCP addresses these challenges by offering the following capabilities: Holistic Visibility: Developers and MCP providers can now see detailed, actionable insights into the tools being used by AI agents and their performance. This end-to-end observability helps in quickly diagnosing and resolving issues. Efficient Problem Solving: The integration reduces the need for manual effort and custom instrumentation, streamlining the process of identifying and fixing problems within AI applications. Cost Efficiency: By aligning cost with actual performance and usage, New Relic’s usage-based pricing model ensures that organizations only pay for the value they receive, making AI monitoring more cost-effective compared to seat-based models. These features are part of New Relic’s comprehensive AI Monitoring solution, which is a component of the company's intelligent observability platform. The platform helps organizations swiftly find the root cause of AI application issues, further their adoption of AI, and support them at every stage of their AI journey. According to New Relic’s recent AI Unwrapped: 2025 AI Impact Report, the company has seen a consistent 30% quarter-over-quarter growth in AI Monitoring usage over the past 12 months since its launch. This trend underscores the increasing importance of reliable, accurate, compliant, and cost-efficient AI solutions as enterprises integrate AI into their operations. Availability New Relic AI Monitoring with MCP support is now available through Python Agent version 10.13.0, with support for additional programming languages planned for the near future. For more details, visit New Relic’s official website. About New Relic The New Relic Intelligent Observability Platform empowers businesses to eliminate disruptions in digital experiences. It stands out as the only AI-enhanced platform that unifies and pairs telemetry data to provide clarity across the entire digital infrastructure. By processing the right data at the right time, New Relic moves problem-solving from proactive to predictive, maximizing value and controlling costs. World-renowned companies such as Adidas Runtastic, American Red Cross, Domino’s, GoTo Group, Ryanair, Topgolf, and William Hill rely on New Relic to drive innovation, improve reliability, and deliver outstanding customer experiences, ultimately fueling business growth. For more information, visit www.newrelic.com.