StackMCP

DevOps / Cloud Stack for Continue

Advanced5 servers37.0K tokens

Configuration

mcpServers:
  - name: docker-mcp
    command: npx
    args:
      - -y
      - docker-mcp
  - name: kubernetes-mcp
    command: npx
    args:
      - -y
      - mcp-server-kubernetes
  - name: 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
  - name: github-mcp
    command: npx
    args:
      - -y
      - @modelcontextprotocol/server-github
    env:
      GITHUB_PERSONAL_ACCESS_TOKEN: YOUR_GITHUB_PERSONAL_ACCESS_TOKEN
  - name: sentry-mcp
    command: npx
    args:
      - -y
      - sentry-mcp
    env:
      SENTRY_AUTH_TOKEN: YOUR_SENTRY_AUTH_TOKEN

Where to save

Paste the config above into:

~/.continue/config.yaml

Environment Variables

Replace the YOUR_ placeholders with your actual values.

CLOUDFLARE_API_TOKENrequired

Cloudflare API token

Used by: Cloudflare MCP

CLOUDFLARE_ACCOUNT_IDrequired

Cloudflare account ID

Used by: Cloudflare MCP

GITHUB_PERSONAL_ACCESS_TOKENrequired

GitHub personal access token

Used by: GitHub MCP

SENTRY_AUTH_TOKENrequired

Sentry auth token

Used by: Sentry MCP

What’s in this stack

Docker MCP14 tools

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.

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.

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 MCP20 tools

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 MCP8 tools

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.

Other editors