CloudBees Unify
This MCP server connects AI agents to CloudBees Unify's enterprise DevOps platform, providing unified context and control across hybrid CI/CD environments. Built by CloudBees as part of their Unify vision, it bridges LLM-powered agents with DevOps data and tooling through the Model Context Protocol, enabling natural language interactions with pipeline data, security scans, and delivery workflows. The implementation transforms isolated DevOps tools into an intelligent, context-aware system where AI agents can query real-time pipeline status, trigger CI/CD actions, and access unified analytics without context switching, making it valuable for enterprise teams seeking to integrate AI-driven automation into their existing Jenkins, GitHub Actions, and hybrid toolchain environments.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve CloudBees Unify from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.