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Sentry Launches MCP Server Monitoring

Sentry announced the launch of MCP Server Monitoring. 

It gives anyone building on top of the Model Context Protocol (MCP) a clearer view into what’s working (and what’s not) behind the scenes.

“We built this because we needed to debug problems in our own MCP server, and quickly learned they’re the same problems everyone building MCPs is having,” says Cody De Arkland, Head of Developer Experience at Sentry.

“Sentry’s MCP server helps developers debug issues as they build,” he adds. “It turns out people really want that. Soon after launch, our MCP shot past 30 million requests a month. That sort of scale inevitably brings new bugs of its own. Existing monitoring tools struggle with the context of what’s happening in an MCP server. We needed to know things like traffic load and AI client usage, which tools were getting called the most, which were slow or failing, and which inputs were causing things to break. We needed to know all of this without relying on users to tell us.”

With just a few lines of code, Sentry’s MCP monitoring helps dev teams answer questions like:

  • Which clients are experiencing errors or using outdated transports in your MCP Server?
  • Which tools are getting the most use?
  • Which tools are running the slowest; which are erroring out?
  • Why are more errors suddenly occurring? Did it start right as traffic spiked, or right after a new release went live?
  • Are errors happening because of a change you made, or because a bot is hammering your server with malformed requests?
  • Are errors only happening on one type of transport? Are HTTP clients timing out, while stdio is fine?

“MCP is the fastest-growing protocol of the AI era, but when an MCP server breaks it can be tough to figure out what went wrong,” says Sentry CEO Milin Desai. “Your app, your agents, your MCP — it’s all one flow. With the addition of MCP Server monitoring, Sentry gives developers the context they need across every layer, so they can find the bug anywhere in their application stack and get back to shipping.”

MCP monitoring is available today for anyone using Sentry’s JavaScript SDK, and can be up and running in minutes.

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Sentry Launches MCP Server Monitoring

Sentry announced the launch of MCP Server Monitoring. 

It gives anyone building on top of the Model Context Protocol (MCP) a clearer view into what’s working (and what’s not) behind the scenes.

“We built this because we needed to debug problems in our own MCP server, and quickly learned they’re the same problems everyone building MCPs is having,” says Cody De Arkland, Head of Developer Experience at Sentry.

“Sentry’s MCP server helps developers debug issues as they build,” he adds. “It turns out people really want that. Soon after launch, our MCP shot past 30 million requests a month. That sort of scale inevitably brings new bugs of its own. Existing monitoring tools struggle with the context of what’s happening in an MCP server. We needed to know things like traffic load and AI client usage, which tools were getting called the most, which were slow or failing, and which inputs were causing things to break. We needed to know all of this without relying on users to tell us.”

With just a few lines of code, Sentry’s MCP monitoring helps dev teams answer questions like:

  • Which clients are experiencing errors or using outdated transports in your MCP Server?
  • Which tools are getting the most use?
  • Which tools are running the slowest; which are erroring out?
  • Why are more errors suddenly occurring? Did it start right as traffic spiked, or right after a new release went live?
  • Are errors happening because of a change you made, or because a bot is hammering your server with malformed requests?
  • Are errors only happening on one type of transport? Are HTTP clients timing out, while stdio is fine?

“MCP is the fastest-growing protocol of the AI era, but when an MCP server breaks it can be tough to figure out what went wrong,” says Sentry CEO Milin Desai. “Your app, your agents, your MCP — it’s all one flow. With the addition of MCP Server monitoring, Sentry gives developers the context they need across every layer, so they can find the bug anywhere in their application stack and get back to shipping.”

MCP monitoring is available today for anyone using Sentry’s JavaScript SDK, and can be up and running in minutes.

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For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...