DevOps, CI/CD & Version Control MCP servers connect LLMs to software delivery pipelines, version control platforms, cloud hosting providers, and deployment tools. Teams use these integrations to query Kubernetes clusters, track ZenHub boards, trigger builds, inspect domain configurations, and manage incident workflows directly within AI client environments.
DevOps, CI/CD & Version Control MCP servers let AI assistants inspect infrastructure, manage code repositories, monitor deployment pipelines, and resolve operational incidents directly from conversational interfaces. Instead of manually running terminal commands or navigating web dashboards, developers use these Model Context Protocol integrations to query project status, automate tests, and execute release workflows.
When evaluating DevOps and CI/CD servers, consider three technical criteria:
Top servers in this category address distinct stages of development and operations: mcp-k8s-go delivers an extensible Golang server for managing Kubernetes clusters, ZenHub bridges project management and issue tracking directly with language models, Shipyard empowers agents to inspect ephemeral test environments and pull build logs, and Rootly lets teams query and manage incident response workflows via Cloudflare Workers.
| MCP server | What it connects to | Type | Repository |
|---|---|---|---|
| ZenHub | This ZenHub MCP server acts as a bridge between AI assistants and the ZenHub project management platform. It allows Large | Unknown | https://github.com/derekbar90/zenhub-mcp |
| Vercel Domains MCP | Vercel Domains MCP is an MCP server that enables AI assistants to query and inspect domain details registered or hosted | Unknown | https://github.com/wong2/vercel-domains-mcp |
| mcp-k8s-go | mcp-k8s-go is an MCP server that provides Large Language Model clients direct access to Kubernetes clusters using Go-based tools and | Open Source | https://github.com/strowk/mcp-k8s-go |
| Shipyard | Shipyard is an MCP server that integrates the Shipyard CLI with Model Context Protocol clients to inspect and manage ephemeral | Unknown | https://github.com/shipyard/shipyard-cli |
| Rootly | Rootly is an MCP server that enables AI assistants to manage incidents directly on the Rootly incident management platform via | Unknown | https://github.com/Rootly-AI-Labs/Rootly-MCP-cloudflare |
| Yourware MCP | Yourware MCP acts as a bridge between a local coding project and the Yourware platform. In the simplest terms, it | Unknown | https://github.com/ai-zerolab/yourware-mcp |
| Yellhorn Mcp | Yellhorn MCP acts like a highly organized project manager for software developers working with AI. It takes a developer's idea | Unknown | https://github.com/msnidal/yellhorn-mcp |
| Xcode | This MCP server acts as a powerful bridge between Apple’s Xcode development environment and AI assistants like Claude. It allows | Unknown | https://github.com/devyhan/xcode-mcp |
| XcodeBuildMCP | XcodeBuildMCP acts as a bridge that allows AI assistants to help build and manage apps for Apple platforms, including iOS, | Open Source | https://github.com/getsentry/XcodeBuildMCP |
| ZenML | The ZenML MCP server acts as a smart bridge that allows AI assistants to understand and interact with machine learning | Open Source | https://github.com/zenml-io/mcp-zenml |
The best server depends on your current platform needs. For container orchestration, mcp-k8s-go offers a lightweight Golang implementation to query Kubernetes resources directly. For managing ephemerality and testing in CI pipelines, Shipyard provides robust CLI-backed environment inspection. ZenHub serves as a reliable option for teams needing issue and project tracking inside Claude Desktop.
To connect a server like Vercel Domains MCP or XcodeBuildMCP to Cursor, open your Cursor settings and locate the MCP configuration file. Add the server command under the mcpServers key, specifying the binary path and necessary environment variables such as API tokens. Once saved, restart Cursor to enable domain checks or build commands directly in the IDE chat.
Rootly handles incident management tasks. It operates through your own API tokens via a Cloudflare Worker, letting AI assistants pull active incident details, update mitigation status, and interact with incident response runbooks directly through the Model Context Protocol without switching to an external browser tab.
Yes, several servers target Apple ecosystems. XcodeBuildMCP acts as a bridge to build and manage apps for iOS, macOS, visionOS, and watchOS. Complementary tools like Xcode, XcodeMCP, and Xcode MCP allow AI assistants to interact directly with the macOS Xcode development environment to manage local projects.