JCollier
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MCP Server v0.12.0 is live — what’s new and why it matters
Hello MCP community, We just pushed the v0.12.0 release of SmartBear MCP Server — a solid step forward in adding new capabilities across our ecosystem of products. What’s new in v0.12.0 Zephyr support improvements — we added two new tools: one to retrieve Environments, and another to fetch a list of Test Executions. Swagger enhancements — two powerful tools added: create_api_from_prompt: generate API definitions directly from natural-language descriptions, powered by SmartBear AI, with governance and standardization applied. standardize_api: scan an existing API definition and automatically fix it to comply with standardization rules — helpful for teams managing many APIs or enforcing policies. BugSnag observability extension — added tools for querying performance data and managing network-grouping rules: list/get span groups, list spans, get traces, list trace fields, and get/set network endpoint groupings. QMetry automation & context metadata improvements — new tools for importing automation results, creating releases/cycles, and improved contextual metadata to help with LLM-based prompt handling. Misc tools & UX improvements — support for a --version command line flag to easily check which MCP version you’re running. Breaking/Changed Behavior in BugSnag integration — event threads have been removed from the “Get Error” response; instead, there is now “Get Event (by ID)”. If your automation or scripts rely on the old shape, you’ll need to update. Why this matters Teams using Zephyr now have deeper visibility into environments and test executions directly from MCP clients. That’s a big win for QA workflows and auditability. For API-first teams, the new Swagger AI-powered API creation and standardization tools could drastically speed up API lifecycle: from “idea” to “compliant spec” in one step — helping enforce consistency and governance at scale. The expanded BugSnag performance/tracing support bridges the gap between observability and AI-driven diagnostics. You can now query traces, spans, and network groupings — which makes MCP a more compelling tool for real-time debugging and error triage. Improved QMetry automation import + LLM context metadata makes it more practical to embed test results and context into AI-powered workflows — good for release automation, reporting, or even automated triage. The release overall tightens integration across the SmartBear ecosystem — pushing farther toward a unified, AI-ready platform. What to do next Upgrade to v0.12.0. If you use BugSnag integrations — especially error queries — verify your scripts against the changed “Get Error / Get Event” shape. Try out the new Swagger and Zephyr tools. Think about how these could reshape your API and QA workflows. If you’re experimenting with AI-driven workflows (e.g. auto-generating APIs or linking runtime errors to API docs) now is a good time to test and give feedback. As always: share your experiences. What works? What needs polish? Your feedback will guide what’s next. This is a big release with real substance behind it. For teams already invested in BugSnag, Swagger, Zephyr or QMetry, adopting v0.12.0 could unlock real productivity and automation opportunities.Automating Pact Test Generation with the SmartBear MCP Server and PactFlow
Here is a new video demo showing how developers can use the SmartBear MCP Server together with GitHub Copilot to automatically generate and run Pact Tests right inside Visual Studio Code. In this walkthrough, you’ll see how easy it is to: ✅ Connect Copilot to a locally running SmartBear MCP server ✅ Use MCP tools to generate Pact Tests from your existing API specs and templates ✅ Filter endpoints and control file naming to fit your workflow ✅ Validate and run the generated tests directly from your terminal This example highlights how MCP can act as the bridge between your AI assistant and SmartBear’s quality ecosystem, turning natural language prompts into real, executable tests no manual setup required. Watch the full demo here: Automating PACT Tests with SmartBear MCP Server If you’re experimenting with your own MCP integrations or have ideas for other test automation workflows you’d like to see, drop your thoughts below!What’s Next for SmartBear’s MCP Server?
Over the past few months, we've been busy adding tools to the SmartBear MCP server with updates/releases happening every few weeks. We’ve seen teams begin exploring how MCP can securely connect SmartBear’s API, testing, and observability tools directly into their AI assistants and IDEs with no extra setup or manual data wrangling required. Here’s what early users are getting excited about: Full Context in One Place: Developers can instantly access API definitions, test outcomes, and error insights from tools like SwaggerHub, Zephyr, and BugSnag without leaving their workflow. Agentic Automation: Teams are building AI-driven workflows that trigger tests, surface flaky results, and even connect runtime errors to missing API documentation. Secure Local Control: All data stays protected under your organization’s governance policies. MCP simply makes it easier and safer to access what you already own. Next up, we’re focusing on real-world use cases like error-driven API refinement (BugSnag + Swagger) and automated validation after fixes (BugSnag + Reflect) to show how cross-product workflows can speed up release confidence. Here is a video from a SmartBear that has been exploring how to desgin APIs and ensure best practices around API Standardization. Swagger API Governance with MCP We’d love to hear how you’re experimenting with MCP whether it’s inside your IDE, your assistant, or your CI pipeline. Drop your feedback or share what workflows you’d like to see next!Re: Collaborator Release Notifications
Welcome to Collaborator v13.4! Collaborator 13.4 is the latest release from the dev collaboration team at SmartBear. This new version has many great usability improvements including in-app notifications, user @mentions, version info in comments, and a collapsible chat panel in the diff viewer. In-app Notifications The Collaborator toolbar now features a notification icon to inform users if they have been mentioned in a comment or if new repositories have been added to one of the tracked remote repository servers. @Mentions It is now possible @mention another Collaborator user while creating a comment or defect. This makes it easy to notify them via email as well as through the in-app notification feature that a comment has been left for them on a review. Comment Version Info In Collaborator 13.4, version information is now added next to the date/time stamp. This makes it easy to identify and select the version that a comment or defect is associated with as users are reading comments. Collapsible Chat Panel Users now have the ability to individually collapse the Header or Chat panel in the diff viewer. Additionally, there is a new ‘Focus’ icon in the upper right-hand corner of the diff viewer that allows both panels to be collapsed simultaneously. The new collapse features make it easier to focus the entire browser window on the actual file diff. To learn more about Collaborator 13.4, please check out the links below. Download the latest release of Collaborator. You can view the full list of fixes and improvements here. If you have any questions about licensing, please contact sales. If you have any technical support questions, please contact SmartBear Support. Best Wishes, Justin Collier & The SmartBear TeamRe: Collaborator Release Notifications
Welcome to Collaborator v13.2! Collaborator 13.2 is the latest release from the dev collaboration team at SmartBear. This new version includes some UI modifications as well as performance improvements and Microsoft Office plugins. Configurable Home Screen As a user you can now modify the fields that are displayed on the Collaborator Home screen. You have the ability to include Review Custom Fields as well as other predefined Collaborator fields, such as your Role, the review Phase or Last Activity. Improved Performance With Collaborator 13.2 we have improved file retrieving times for Collaborator’s pull request integrations with Azure DevOps, GitHub, Bitbucket and GitLab. In addition to improving performance for pull requests, there has also been an improvement for document review page load times inside the Diff Viewer. Microsoft Plugins The Collaborator plugin for Microsoft Word, PowerPoint or Excel makes it easy to create or update reviews with just a few clicks. When using the plugin, there is no need to save the file and upload it manually to Collaborator. Download plugins Modified Mark Fixed, Edit and Delete Process Previous versions of Collaborator forced users to expand the defect details in order for it to be Marked Fixed, Edited or Deleted. Now, these options are available on the Defect toolbar. This change will make it easier and quicker for users to modify the defects current settings. To learn more about Collaborator 13.2, please check out the links below. Download the latest release of Collaborator. You can view the full list of fixes and improvements here. If you have any questions about licensing, please contact sales. If you have any technical support questions, please contact SmartBear Support. Best Wishes, Justin Collier & The SmartBear Team
