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New Relic Accelerates AI-Driven Software Development with Kiro Integration
One-click MCP Server integration closes the production feedback loop to create a seamless path from integrated development environment to production New Relic today announced the integration of its Model Context Protocol (MCP) Server with Kiro, Amazon Web Services' (AWS) AI-native, agentic
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New Relic, Inc. And Amazon Web Services, Inc. Integrate Model Context Protocol Server With Kiro To Accelerate AI-Driven Software Development
New Relic, Inc. announced the integration of its Model Context Protocol (MCP) Server with Kiro, Amazon Web Services, Inc.'s AI-native, agentic development environment. The one-click integration enriches agentic coding workflows with real-time observability insights, closing the feedback loop
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New Relic has integrated its Model Context Protocol Server with Kiro, Amazon Web Services' AI-native development environment. The one-click integration brings real-time observability insights directly into agentic coding workflows, enabling developers to query production metrics in natural language and validate AI-generated code changes before shipping.
New Relic has integrated its Model Context Protocol Server with Kiro, Amazon Web Services' agentic development environment, marking a significant step forward in AI-driven software development
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. The one-click integration addresses a critical gap in how AI coding agents operate by connecting them with live production data, ensuring they no longer work in isolation from operational reality. Engineers can now query live metrics, events, logs, and traces in natural language, bringing New Relic AI directly into Kiro's spec-driven workflow without context-switching2
.This integration matters because enterprises are racing to embed AI across operations, yet without operational context from production, agentic coding tools operate blindly. According to New Relic Chief Product Officer Brian Emerson, organizations face "a critical and immediate need to safely unify AI coding agents and live business data"
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. The New Relic and Kiro integration closes the feedback loop between planning, shipping, and validating to boost developer velocity, improve code quality, and reduce mean time to resolution of performance issues.The integration enables developers, DevOps engineers, and SREs using Kiro to surface real-time production context inside Kiro's spec-driven development cycle
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. Developers can query New Relic's full-stack telemetry directly inside the agentic development environment to validate code performance against technical specs. This unifies planning and execution, ensuring AI-generated code changes are operationally validated before shipping while keeping developers focused within the integrated development environment.By feeding New Relic's observability insights directly to Kiro's agents, teams can shift from manual troubleshooting to AI-assisted investigation
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. Developers can rapidly identify root causes and implement precise code fixes for performance bottlenecks, significantly slashing MTTR. Built as a Kiro power, the integration enables one-click deployment that eliminates complex manual configuration, allowing engineering teams to immediately access rich observability insights and accelerate their transition to spec-driven, AI-native development.Related Stories
The launch follows New Relic surpassing $1 billion in lifetime transactions through AWS Marketplace, reflecting years of investment in helping joint customers migrate to the cloud and optimize their digital estates
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. This milestone underscores deep customer trust and a shared commitment to redefining engineering through agentic, AI-native solutions. The partnership has evolved from foundational infrastructure monitoring to Intelligent Observability, including recent technical expansions like the New Relic MCP Server integration for AWS DevOps Agent and automated remediation workflows using AWS AppConfig. As AI coding agents become core to how developers ship code, integrations that provide production metrics and operational context will prove essential for maintaining code quality while accelerating delivery timelines.Summarized by
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