The article discusses the challenges posed by the rapid adoption of agentic AI systems, particularly concerning application performance management. While support for the Model Context Protocol (MCP) has improved integration and interaction, it has also created visibility challenges for agent developers and MCP service providers. Developers struggle with understanding AI tool selection and performance bottlenecks, while service providers face hurdles in utilizing their services effectively. Announcements of enhanced support for MCP within AI Monitoring solutions aim to address these visibility gaps, allowing for improved application performance oversight.
The rapid adoption of AI has introduced complexities in application performance management, particularly highlighting the visibility gap in the Model Context Protocol.
We're announcing support for MCP within our AI Monitoring solution, allowing for seamless integration with our Application Performance Monitoring.
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