
What happened
SoftBank said on October 15 that its AGENTIC STAR platform now supports MCP integration with Datadog, so its AI can pull and analyze Datadog monitoring data.
Why it matters
Users can ask questions in natural language to have the AI analyze Datadog metrics, logs and traces and get causes, impact scope and recommended actions.
WHO IT HITSEnterprise IT and site reliability teams that run Datadog alongside agentic AI platforms are the target: they can have their monitoring data queried in natural language, which SoftBank says reduces the load of checking and analyzing it and speeds up incident response.
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SoftBank positions AGENTIC STAR as a platform for promoting corporate AI use, and the Datadog link is its latest step in connecting it to outside services. MCP gives the platform a standardized way to reach external tools and data sources, which is why Datadog's monitoring data can now flow into it.
The value SoftBank describes is practical: instead of people manually checking dashboards, the AI browses Datadog's metrics, logs and traces and returns causes, impact scope and recommended actions. Combining that with AGENTIC STAR's standard API integration also lets AI agents investigate Datadog alerts on their own, which SoftBank says speeds up the first response to incidents.
SoftBank says it plans to keep expanding these integrations, aiming to link the monitoring data and operational systems scattered across enterprise IT operations so AI agents can be used more practically.
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