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You built the MCP server. Now track every client, tool, and request with Sentry.

TL;DR - Starting today, you can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation. Click to Copy Click to Copy With this in place, you’ll be able to see details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation.

Sentry MCP server monitoring

We just launched MCP server monitoring in beta. You can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation using: wrapMcpServerWithSentry(McpServer) See details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation so you you can get visibility into all the sharp edges that your MCP server has — who’s using it, how it’s working (or not), and get alerted when things break.

Cortex MCP set up

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

AI in observability at Grafana Labs: Making observability easy and accessible for everyone

Did you know that observability has been around for more than six decades? It all goes back to a Hungarian-American inventor named Rudolf Kálmán who thought about how external outputs could measure the internal state of a machine. Kálmán wrote about monitoring single-input single-output systems, but our demands are very different today. We need to observe monoliths, microservices, clusters, pods, regions, and many more.

AI for Grafana onboarding: Get your teams started quicker with Grafana Assistant

Grafana puts a powerful set of observability capabilities right at your fingertips, but onboarding entire teams to the sophisticated platform is often a nontrivial exercise—one that can slow adoption and prevent organizations from getting immediate value. We want to make the process as frictionless as possible, which is why we’re excited to tell you that Grafana Assistant is now available in public preview to all Grafana Cloud users.

Using Claude to power up your onboarding

I joined incident.io about ten weeks ago, having been in my previous role for four and a half years. Being a new starter was an unusual feeling for me, and there's been a huge amount to learn; but by lunch on my second day (!) I had started shipping value to our customers. A large part of hitting the ground running has been having a colleague alongside me, who I can pester with questions, who doesn’t get offended when I write in all capitals, and often praises me for being absolutely right!

AI Meets Mobile: How Companies Leverage Android and AIOps for Smarter User Experiences

Mobile devices are becoming smarter with every tap. Thanks to AI and AIOps, Android apps can now predict what users need, fix issues before they even notice them, and create seamless, personalized experiences. This isn't a distant tech dream but something that's happening right now, transforming the way companies design and deliver mobile services. From streamlining performance to enhancing customer engagement, AI is quietly rewriting the rules of mobile interaction.