CloudBrain MCP Servers

This repository serves as the central hub and MCP registry for all MCP servers built to support a wide range of DevOps tools and workflows. Each MCP

Local serverstdioPython

What is the CloudBrain MCP Servers?

This repository serves as the central hub and MCP registry for all MCP servers built to support a wide range of DevOps tools and workflows. Each MCP server provides

What it actually does

A suite of Model Context Protocol (MCP) servers for DevOps tools and technologies, enabling AI assistants and automation to interact with modern infrastructure and deployment technologies.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the CloudBrain MCP Servers

{
  "mcpServers": {
    "cloudbrain": {
      "command": "uvx",
      "args": ["talkops-"],
      "env": {
        "ARGOCD_SERVER_URL": "your-value",
        "ARGOCD_AUTH_TOKEN": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
ARGOCD_SERVER_URLEndpoint or connection string the server talks to.Yes
ARGOCD_AUTH_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • “Use CloudBrain MCP Servers to Method.”

Frequently asked questions

Each server can be installed via pip (`pip install talkops-<server-name>`), uv, uvx, or Docker (`docker run talkopsai/<server-name>:latest`). Choose the method that best fits your environment.