# CloudBees Unify

> Use this tool when you need to integrate AI-driven automation into your existing DevOps environments, providing unified context and control across hybrid CI/CD pipelines. It connects AI agents to DevOps data and tooling, enabling natural language interactions with pipeline data, security scans, and delivery workflows. This tool is ideal for enterprise teams seeking to bridge isolated DevOps tools and leverage real-time pipeline status, automated CI/CD actions, and unified analytics.

Canonical page: https://skillsregistry.net/skills/cloudbees-unify  
JSON: https://api.skillsregistry.net/v1/skills/cloudbees-unify

## Description

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.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cloudbees-unify)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cloudbees-unify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cloudbees-unify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cloudbees-unify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt