It would be really helpful if there were a Model Context Protocol (MCP) server for Gearset. As companies are adopting AI LLM tools as part of their day-to-day work, integrations with tools like Gearset become a necessity and MCPs are becoming more and more available, even Salesforce has support now (https://developer.salesforce.com/blogs/2025/06/introducing-mcp-support-across-salesforce).

As an example, we use Claude Deskop connected with an Azure DevOps MCP (https://github.com/microsoft/azure-devops-mcp) to connect to ADO. Claude helps assess priorities, organize releases, check for duplicate issues, and even identify issues that have fallen through the cracks.

Expanding on that, it would be really helpful to have a Gearset MCP which Claude could connect to Gearset and look at things like deployment history, draft deployments., PRs. automation pipeline, and be able to answer questions about the status on various issues/bugs, etc, which exist on tools like ADO / JIRA, and help assess things like:
When an issue was deployed, and to which environment.
Or if a draft deployment includes all the metatdata/components needed to resolve the user story in ADO/JIRA. There are a lot of options!