Connect AI agents to CloudBees Unify for releases, CI/CD, flags, and security.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "CloudBees Unify MCP Server" MCP server from askskill: Run: claude mcp add --transport http 'io-github-cloudbees-unify-mcp-server' 'https://mcp.cloudbees.io/v1/mcp'
Using the CloudBees Unify MCP Server, show me the available CI/CD and release orchestration capabilities and list the actions I can take next.
A list of available CI/CD and release orchestration capabilities or actions for further automation.
Connect to CloudBees Unify, inspect the available feature flag actions, and tell me how I can view or manage them.
An explanation or result of feature flag-related actions, helping the user understand available management steps.
Through the CloudBees Unify MCP Server, summarize the currently available security-related functions and group them by use case.
A categorized list of security-related capabilities for later use by an AI agent or team.
Developers or DevOps teams can use it to connect AI agents to CloudBees Unify and access CI/CD, release orchestration, and feature flag capabilities from one entry point.
When a team wants AI-assisted execution for release orchestration and delivery tasks, this MCP tool serves as the bridge to CloudBees Unify.
For teams that want AI agents to handle security-related tasks, it provides a unified way to connect to CloudBees Unify security capabilities.
It connects AI agents to CloudBees Unify. Based on the provided description, it covers feature flags, CI/CD, release orchestration, and security-related capabilities.
It is most relevant to developers and DevOps teams, and may also suit product managers involved in release processes. It is mainly for roles that want AI to use delivery and security capabilities.
The provided material does not include installation steps, key requirements, or runtime prerequisites. See the source repository for details.
Lets AI manage Azure DevOps projects, repos, work items, PRs, and pipelines.
Build AI agent workflows and automate tasks using MCP-connected services.
Use natural language to query and operate Azure DevOps Server resources.
Use natural language to unify Jira, GitHub, and Confluence workflows.
Interact with Azure DevOps projects, work items, repos, and pipelines via natural language.
Manage Jira Cloud projects, issues, boards, and workflows using natural language.