feat(eks-mcp-server): add hosted MCP server documentation and registry metadata

scripts/verify_package_name.py

@@ -59,17 +59,24 @@ def extract_package_name(pyproject_path: Path) -> str:
 
 
 def extract_dependencies(pyproject_path: Path) -> List[str]:
-    """Extract dependency names from pyproject.toml file."""
+    """Extract dependency names from pyproject.toml file, including optional dependencies."""
     try:
         with open(pyproject_path, 'rb') as f:
             data = tomllib.load(f)
-        dependencies = data.get('project', {}).get('dependencies', [])
+
+        # Combine regular dependencies and optional dependencies
+        all_deps = data.get('project', {}).get('dependencies', [])
+        optional_deps = data.get('project', {}).get('optional-dependencies', {})
+        for group_deps in optional_deps.values():
+            all_deps.extend(group_deps)
+
         # Extract just the package names (remove version constraints)
         dep_names = []
-        for dep in dependencies:
+        for dep in all_deps:
             # Remove version constraints (>=, ==, etc.) and extract just the package name
             dep_name = re.split(r'[>=<!=]', dep)[0].strip()
             dep_names.append(dep_name)
+
         return dep_names
     except (FileNotFoundError, KeyError):
         # If we can't extract dependencies, return empty list
@@ -199,8 +206,9 @@ def find_package_references_in_readme(
             'env',
         ]:
             continue
-        # Skip dependencies from pyproject.toml
-        if ref in dependencies:
+        # Skip dependencies from pyproject.toml (strip version before comparing)
+        ref_package = ref.split('@')[0] if '@' in ref else ref
+        if ref_package in dependencies:
             continue
         # Skip AWS service references (e.g., aws.s3@ObjectCreated)
         if ref.startswith('aws.') and '@' in ref:

src/eks-mcp-server/README.md

@@ -4,6 +4,10 @@ The Amazon EKS MCP server provides AI code assistants with resource management t
 
 Integrating the EKS MCP server into AI code assistants enhances development workflow across all phases, from simplifying initial cluster setup with automated prerequisite creation and application of best practices. Further, it streamlines application deployment with high-level workflows and automated code generation. Finally, it accelerates troubleshooting through intelligent debugging tools and knowledge base access. All of this simplifies complex operations through natural language interactions in AI code assistants.
 
+**AWS now offers a fully managed, hosted version of the EKS MCP Server** that eliminates local installation and maintenance. The hosted service provides automatic updates, centralized IAM-based security, and comprehensive audit logging through AWS CloudTrail. See [Option 1 (Recommended)](#option-1-recommended-hosted-mcp-server) below for setup instructions.
+
+> **Note**: The hosted Amazon EKS MCP Server is in preview and subject to change.
+
 ## Key features
 
 * Enables users of AI code assistants to create new EKS clusters, complete with prerequisites such as dedicated VPCs, networking, and EKS Auto Mode node pools, by translating requests into the appropriate AWS CloudFormation actions.
@@ -21,6 +25,56 @@ Integrating the EKS MCP server into AI code assistants enhances development work
 
 ## Setup
 
+### Option 1 (Recommended): Hosted MCP Server
+
+Use the AWS-managed EKS MCP Server for simplified setup and automatic updates. The hosted service eliminates local installation requirements and provides enterprise-grade security through AWS IAM integration.
+
+#### Prerequisites
+
+- [Python 3.10+](https://www.python.org/downloads/release/python-3100/) and [uv package manager](https://docs.astral.sh/uv/getting-started/installation/)
+- [AWS CLI configured](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html) with valid credentials
+- IAM permissions for EKS MCP (see below)
+
+#### Configuration
+
+The hosted EKS MCP Server uses the [MCP Proxy for AWS](https://github.com/aws/mcp-proxy-for-aws) to provide secure, authenticated access. Add the following to your MCP client configuration file:
+
+**For Mac/Linux:**
+```json
+{
+  "mcpServers": {
+    "eks-mcp": {
+      "disabled": false,
+      "type": "stdio",
+      "command": "uvx",
+      "args": [
+        "mcp-proxy-for-aws@latest",
+        "https://eks-mcp.us-east-1.api.aws/mcp",
+        "--profile",
+        "default",
+        "--region",
+        "us-east-1"
+      ]
+    }
+  }
+}
+```
+
+Replace `us-east-1` with your desired AWS region and `default` with your AWS CLI profile name. Add `--read-only` flag to restrict to read-only operations.
+
+#### IAM Permissions
+
+Your IAM role or user must have the following managed policies attached:
+
+- **For read-only operations**: [AmazonEKSMCPReadOnlyAccess](https://docs.aws.amazon.com/aws-managed-policy/latest/reference/AmazonEKSMCPReadOnlyAccess.html)
+- **For write operations**: Create a custom policy following the [write policy guide](https://docs.aws.amazon.com/eks/latest/userguide/eks-mcp-getting-started.html#_step_2_optional_create_a_write_policy)
+
+For complete setup instructions and additional configuration options, see the [Amazon EKS MCP Server documentation](https://docs.aws.amazon.com/eks/latest/userguide/eks-mcp-getting-started.html).
+
+### Option 2: Local MCP Server (Legacy)
+
+> **Note**: This is the legacy local installation method that will no longer receive updates. We recommend using [Option 1 (Hosted MCP Server)](#option-1-recommended-hosted-mcp-server) instead.
+
 Add these IAM policies to the IAM role or user that you use to manage your EKS cluster resources.
 
 ### Read-Only Operations Policy

src/eks-mcp-server/pyproject.toml

@@ -33,6 +33,9 @@ classifiers = [
     "Programming Language :: Python :: 3.13",
 ]
 
+[project.optional-dependencies]
+hosted = ["mcp-proxy-for-aws>=1.1.1"]
+
 [project.urls]
 homepage = "https://awslabs.github.io/mcp/"
 docs = "https://awslabs.github.io/mcp/servers/eks-mcp-server/"

src/eks-mcp-server/server.json

@@ -0,0 +1,55 @@
+{
+  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
+  "description": "AI-powered Amazon EKS cluster management and troubleshooting",
+  "name": "io.github.awslabs/eks-mcp-server",
+  "packages": [
+    {
+      "identifier": "mcp-proxy-for-aws",
+      "packageArguments": [
+        {
+          "type": "positional",
+          "value": "https://eks-mcp.{region}.api.aws/mcp",
+          "variables": {
+            "region": {
+              "default": "us-east-1",
+              "description": "AWS region for EKS MCP service",
+              "isRequired": true
+            }
+          }
+        },
+        {
+          "default": "default",
+          "description": "AWS CLI profile to use for credentials",
+          "name": "--profile",
+          "type": "named"
+        },
+        {
+          "name": "--region",
+          "type": "named",
+          "value": "{region}",
+          "variables": {
+            "region": {
+              "default": "us-east-1",
+              "description": "AWS region"
+            }
+          }
+        }
+      ],
+      "registryBaseUrl": "https://pypi.org",
+      "registryType": "pypi",
+      "runtimeHint": "uvx",
+      "transport": {
+        "type": "stdio"
+      },
+      "version": "1.1.1"
+    }
+  ],
+  "repository": {
+    "source": "github",
+    "subfolder": "src/eks-mcp-server",
+    "url": "https://github.com/awslabs/mcp"
+  },
+  "title": "Amazon EKS MCP Server",
+  "version": "1.0.0",
+  "websiteUrl": "https://docs.aws.amazon.com/eks/latest/userguide/eks-mcp-getting-started.html"
+}