DevOps / Cloud Stack
Manage containers, cloud infrastructure, deployments, and monitoring from your AI editor. Docker, Kubernetes, and cloud providers.
Token Budget
Moderate token usage. You will have good room for prompts but watch if adding more servers.
Config
Paste in ~/.claude.json
{
"mcpServers": {
"github-mcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_PERSONAL_ACCESS_TOKEN"
}
},
"cloudflare-mcp": {
"command": "npx",
"args": [
"-y",
"@cloudflare/mcp-server-cloudflare"
],
"env": {
"CLOUDFLARE_API_TOKEN": "YOUR_CLOUDFLARE_API_TOKEN",
"CLOUDFLARE_ACCOUNT_ID": "YOUR_CLOUDFLARE_ACCOUNT_ID"
}
},
"docker-mcp": {
"command": "npx",
"args": [
"-y",
"docker-mcp"
]
},
"kubernetes-mcp": {
"command": "npx",
"args": [
"-y",
"mcp-server-kubernetes"
]
},
"sentry-mcp": {
"command": "npx",
"args": [
"-y",
"sentry-mcp"
],
"env": {
"SENTRY_AUTH_TOKEN": "YOUR_SENTRY_AUTH_TOKEN"
}
}
}
}Included Servers
Docker MCP
Community
Manage Docker containers, images, volumes, and networks. Run, stop, inspect, and monitor containers from your AI editor.
Build, run, and debug containers without leaving your editor. The foundation of modern deployment pipelines.
Kubernetes MCP
Community
Interact with Kubernetes clusters via kubectl. Manage pods, deployments, services, and configurations from your AI editor.
Manage clusters, pods, and deployments from your AI assistant. Complex K8s YAML becomes conversational.
Cloudflare MCP
Cloudflare
Interact with Cloudflare services including Workers, KV, R2, D1, and DNS management from your AI editor.
DNS, Workers, and edge config in one place. Pairs with K8s for the full infrastructure picture — edge to cluster.
GitHub MCP
Anthropic
Access the GitHub API to manage repositories, issues, pull requests, branches, and workflows directly from your AI editor.
CI/CD pipelines, Actions workflows, and infrastructure-as-code PRs. The glue between your code and your deployment.
Sentry MCP
Sentry
Query Sentry for error tracking, performance monitoring, and issue management directly from your AI editor.
Monitor what you deploy. Surface production errors immediately so you can correlate issues with recent infrastructure changes.