CloudBees MCP

CloudBees MCP connects an AI client to CloudBees Unify, the DevOps platform that sits across CI/CD pipelines, releases, testing and software delivery analytics. It exposes that platform state through the Model Context Protocol so an assistant can answer questions about how a delivery process is actually behaving, rather than inferring it from repository contents alone. The server surfaces pipeline definitions and run status, test results and quality signals, and security scan findings collected across the connected toolchain, along with the analytics Unify aggregates on top of them. Because Unify is designed to sit over heterogeneous tooling, the context an agent receives spans the environments and systems a delivery organization already runs instead of a single CI product. Alongside reads it supports triggering delivery actions, so an assistant can move from diagnosis to running a pipeline or opening remediation work inside one conversation. It is set up for developers working through an IDE assistant and for platform and DevSecOps teams who need visibility and governance questions answered quickly: which pipelines are failing, where a regression entered the stream, which components carry open security findings, how long a change takes to reach production. Access follows the permissions of the connecting CloudBees account, so the assistant sees the same slice of the organization its operator does.