New Relics We will introduce support for Model Context Protocol (MCP) Comprehensive AI monitoring solutionsfully integrated with the best class of New Relic Application Performance Monitoring (APM)). Developers who build developers who use MCP and teams that provide MCP services have access to insights that help them identify and resolve issues AI applications.
“Since its release last year, MCP has quickly become a standard protocol Agent AI. Again, meeting where and how customers are functioning is that the new MCP integration is a game changer for everyone who builds or operates AI systems that rely on this protocol,” said the new Relic's chief technology officer. Siva Padisetty.
“We moved beyond Syred. LLM Monitor your MCP to DemyStify and connect insights from AI to directly connect performance across your application stack and overall view performance. All of this is offered as an integral part of industry-leading APM technology,” he added.
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New Relic's support for MCP aims to provide the controls needed to deliver high-quality AI applications, with the aim of providing agent developers and MCP providers with a variety of features.
- Instant MCP Trace Visibility: Users can automatically discover specific uses and patterns throughout the lifecycle of an MCP request, including the tools that were invoked, call sequences, and execution periods with clearwaterfall diagrams.
- Proactive MCP Optimization: This allows you to quickly analyze tools to select a specific prompt, assess tool selection and effectiveness, track usage patterns, latency, errors, and performance to optimize your MCP services and demonstrate value.
- Intelligent AI monitoring context: It claims to seamlessly correlate MCP performance with the entire application ecosystem, including databases, microservices, and queues.
