Best DevOps MCP Servers in 2026 — Top 4 Picks
Discover the top 4 DevOps MCP servers for AI agents in 2026. Compare features, stars, and find the perfect tool.
Looking for the best DevOps MCP servers? The Model Context Protocol (MCP) has revolutionized how AI agents interact with external tools and services. Here are the top 4 devops MCP servers you should know about in 2026.
What Are DevOps MCP Servers?
DevOps MCP servers extend AI capabilities by providing specialized devops functionality through the standardized Model Context Protocol. They allow AI agents like Claude, ChatGPT, and Cursor to interact with devops tools seamlessly.
Top 4 DevOps MCP Servers
1. Elevenlabs MCP — ⭐ 1,272 GitHub Stars
The official ElevenLabs MCP server
Language: Python | License: MIT
2. CLI — ⭐ 1,213 GitHub Stars
The official TanStack CLI - Project Scaffolding, MCP Server, Agent Skills Installation, etc
Language: TypeScript | License: MIT
3. Davinci Resolve MCP — ⭐ 705 GitHub Stars
MCP server integration for DaVinci Resolve
Language: Python | License: MIT
4. Openapi MCP Generator — ⭐ 547 GitHub Stars
A tool that converts OpenAPI specifications to MCP server
Language: TypeScript | License: MIT
How to Choose the Right DevOps MCP Server
When selecting a devops MCP server, consider:
- Compatibility — Does it work with your AI client (Claude Desktop, Cursor, VS Code)?
- Active maintenance — Check the last commit date and issue response time.
- Community size — More stars and contributors usually means better support.
- Documentation — Good docs save hours of setup time.
- Security — Review permissions and data access carefully.
Getting Started
Most MCP servers can be installed with a single command. Visit each server's detail page for installation instructions, or browse our full MCP Server Directory to discover more.
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