SmartBear Expands AI-Powered Testing Across Developer Ecosystems with Integrations in Anthropic’s Claude, Atlassian, GitHub, and Kiro

SmartBear, helping teams build, test, and ship quality software at AI speed and scale, announced its cohesive AI ecosystem strategy of new integrations that expand its AI-powered testing and governance capabilities into Anthropic’s Claude, Atlassian, GitHub, and Kiro. Through integrations with AI-native IDEs, assistants, and partner platforms, SmartBear is bringing its AI-powered testing and governance capabilities directly into the tools used to build software to ensure quality keeps pace.

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These ecosystem integrations are part of SmartBear’s unified AI strategy, in response to customers using AI to accelerate development. Unlike other point solutions that address only a single, isolated layer of the AI-disrupted SDLC, SmartBear’s approach spans the quality lifecycle, from API design and governance through testing and into production monitoring. Teams get consistent quality signals at every checkpoint without stitching together disconnected MCP integrations or isolated toolchains.

With these integrations, SmartBear’s AI-powered testing capabilities live directly inside developer and QA team workflows, reducing friction and context switching so quality doesn’t happen somewhere else while AI accelerates code creation. From there, teams can generate, validate, and govern AI-created tests conversationally and contextually, in the tools they already trust. That turns fragmented verification into a single source of truth for quality, helping prevent integration drift as AI agents become first-class consumers of APIs and systems.

“Atlassian’s Marketplace is built on partners who extend what customers can do inside the tools they already trust,” said Chris Hemphill, head of marketplace partnerships at Atlassian. “SmartBear’s Zephyr Agent for Rovo brings conversational, AI-driven quality intelligence directly into Jira, so QA teams get release-readiness answers without leaving their workflow. That means faster, more confident release decisions for teams running at AI speed.”

New integrations available today include:

• Swagger Contract Testing in Kiro
• ReadyAPI and Swagger connectors for Anthropic’s Claude
• Zephyr Agent for Rovo in Atlassian
• SmartBear MCP Server for GitHub

Together, these integrations span SmartBear’s API governance and testing, contract validation, and test management portfolio, along with the MCP Server, underpinning future AI-driven experiences. SmartBear plans to deepen these integrations with richer skills in Rovo, additional Powers and MCP actions in Kiro, and extended Claude workflows, while forming new ecosystem partnerships and readying more announcements over the coming year.

“Development is moving into AI-native IDEs, assistants, and ecosystem platforms, and increasingly, developers would rather continue working in those platforms instead of jumping to standalone testing tools,” said Sheryl Koenigsberg, senior vice president of product marketing at SmartBear. “At SmartBear, we’re meeting developers in their workflows, building on open protocols, skills frameworks, and extension models so our testing and quality intelligence work wherever developers and agents make decisions.”

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