StackMCP

Site Reliability Engineer Stack for Continue

Advanced6 servers57.7K tokens

Configuration

mcpServers:
  - name: kubernetes-mcp
    command: npx
    args:
      - -y
      - mcp-server-kubernetes
  - name: docker-mcp
    command: npx
    args:
      - -y
      - docker-mcp
  - name: datadog-mcp
    command: npx
    args:
      - -y
      - datadog-mcp-server
    env:
      DD_API_KEY: YOUR_DD_API_KEY
      DD_APP_KEY: YOUR_DD_APP_KEY
  - name: grafana-mcp
    command: npx
    args:
      - -y
      - @leval/mcp-grafana
    env:
      GRAFANA_URL: YOUR_GRAFANA_URL
      GRAFANA_API_KEY: YOUR_GRAFANA_API_KEY
  - name: sentry-mcp
    command: npx
    args:
      - -y
      - sentry-mcp
    env:
      SENTRY_AUTH_TOKEN: YOUR_SENTRY_AUTH_TOKEN
  - name: github-mcp
    command: npx
    args:
      - -y
      - @modelcontextprotocol/server-github
    env:
      GITHUB_PERSONAL_ACCESS_TOKEN: YOUR_GITHUB_PERSONAL_ACCESS_TOKEN

Where to save

Paste the config above into:

~/.continue/config.yaml

Environment Variables

Replace the YOUR_ placeholders with your actual values.

DD_API_KEYrequired

Datadog API key

Used by: Datadog MCP

DD_APP_KEYrequired

Datadog application key

Used by: Datadog MCP

GRAFANA_URLrequired

Grafana instance URL

Used by: Grafana MCP

GRAFANA_API_KEYrequired

Grafana API key or service account token

Used by: Grafana MCP

SENTRY_AUTH_TOKENrequired

Sentry auth token

Used by: Sentry MCP

GITHUB_PERSONAL_ACCESS_TOKENrequired

GitHub personal access token

Used by: GitHub MCP

What’s in this stack

Kubernetes MCP12 tools

Interact with Kubernetes clusters via kubectl. Manage pods, deployments, services, and configurations from your AI editor.

Manages cluster workloads, scaling policies, and service meshes to keep your production infrastructure healthy.

Docker MCP14 tools

Manage Docker containers, images, volumes, and networks. Run, stop, inspect, and monitor containers from your AI editor.

Builds and manages container images that form the foundation of your deployment pipeline.

Datadog MCP15 tools

Access Datadog monitoring data including dashboards, metrics, logs, events, incidents, and monitors from your AI editor.

Provides real-time metrics, traces, and alerts so you catch performance regressions before they become outages.

Grafana MCP43 tools

Search dashboards, query datasources, manage alerts, view incidents, and interact with Grafana observability tools from your AI editor.

Creates and manages dashboards that give your team a unified view of system health and SLO compliance.

Sentry MCP8 tools

Query Sentry for error tracking, performance monitoring, and issue management directly from your AI editor.

Tracks application-level errors with full stack traces to accelerate root cause analysis during incidents.

GitHub MCP20 tools

Access the GitHub API to manage repositories, issues, pull requests, branches, and workflows directly from your AI editor.

Manages infrastructure-as-code repositories and automates deployments through CI/CD workflows.

Other editors

Claude CodeCursorVS CodeWindsurfClaude Desktop