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Raph Moraes
Raph Moraes

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🚀 Boost Your Cloud Dev Workflow with MCP Tools in Cursor + AWS Documentation Integration 🔍📘

#aws #mcp #ai #cursoride

Just started using the AWS Documentation MCP Server inside Cursor IDE? It’s absolutely game-changing! 😍

Imagine querying AWS best practices, code samples, or deployment recommendations directly from your IDE using natural language—and getting back curated, structured answers straight from the docs.

Here’s a quick example:

Please, tell me about AWS best practices recommendations to install ISTIO in Ambient Mode + Envoy per Node on EKS 1.32. Let me know if I should also dedicate node pools for ISTIO control plane services and the same for workloads, considering I'm going to use Envoy proxy per Node instead of sidecar.

Cursor called search_documentation from the AWS Documentation MCP server, and returned a comprehensive breakdown including:
• Istio Ambient Mode support on EKS (with CNI and health probe tuning)
• DaemonSet deployment for ztunnel (Envoy per node), no need for a dedicated node pool
• Control Plane Isolation: Yes, dedicate a node pool for istiod, ztunnel, and CNI
• Workload Isolation: Yes, use separate node pools for your applications
• Waypoint proxies (L7): Optional dedicated pool depending on traffic
• PodSecurity, IRSA, and network policy best practices
• Optionally isolate observability tools (Prometheus, Grafana) into a separate node pool

All of this came from a single query, instant context-aware guidance that’s production-ready.

Setup is simple:

Make sure you have uv installed:

pip3 install uv
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Then configure your MCP in ~/.cursor/mcp.json like so:

{
  "mcpServers": {
    "AWS Documentation": {
      "command": "uvx awslabs.aws-documentation-mcp-server@latest",
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "AWS_DOCUMENTATION_PARTITION": "aws"
      }
    }
  }
}
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Note: Cursor’s built-in UI makes it super easy to connect and manage MCP servers. Just toggle the integration and you’re good to go.

Why this matters:

As a DevOps/Platform Engineer, this accelerates cloud research, makes best practices discoverable, and integrates perfectly with your daily workflow.

If you’re working with EKS, Terraform, or GitOps, this combo is a must-try.

Try it out to see how it goes!

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