SmartBear has announced new integrations that expand its AI-powered testing and governance capabilities into Anthropic's Claude, Atlassian, GitHub, and Kiro. The integrations bring AI-driven quality intelligence directly into the tools developers and QA teams already use, helping customers achieve application integrity at AI speed.
SmartBear integrated AI-powered testing with Anthropic's Claude, Atlassian, GitHub, and Kiro across its API governance, contract validation, and test management portfolio.
New integrations include Swagger Contract Testing in Kiro, ReadyAPI and Swagger connectors for Claude, Zephyr Agent for Rovo in Atlassian, and SmartBear MCP Server for GitHub.
The approach spans the quality lifecycle from API design through testing to production monitoring.
Teams can generate, validate, and govern AI-created tests conversationally within their existing tools.
SmartBear plans to deepen integrations with richer skills in Rovo, additional Powers in Kiro, and extended Claude workflows.
The strategy addresses customers using AI to accelerate development while maintaining consistent quality signals.
SmartBear, helping teams build, test, and ship quality software at AI speed and scale, today 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.
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 – Bringing contract validation into the AI-native IDE.
ReadyAPI and Swagger connectors for Anthropic's Claude – Enabling conversational API testing and governance within Claude.
Zephyr Agent for Rovo in Atlassian – Delivering quality intelligence directly in Jira workflows.
SmartBear MCP Server for GitHub – Extending testing capabilities into GitHub environments.
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."
About SmartBear
SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended, with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams.
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