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Cloud InfrastructureAuto-generatedScore: 46

AWS Health APIs and Notifications MCP Server

The AWS Health API and Notifications service, provided by Amazon Web Services, serves as the programmatic backbone for the Personal Health Dashboard (PHD).

Quick Start Summary

The AWS Health APIs and Notifications MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Health APIs and Notifications API through natural language. It exposes 10 API endpoints as callable tools, such as DescribeAffectedAccountsForOrganization, DescribeAffectedEntities, DescribeAffectedEntitiesForOrganization, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-health. This integration is sourced from the auto AWS Health APIs and Notifications OpenAPI specification (v2016-08-04) and has a quality score of 46/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
46/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2016-08-04
Install Command
npx -y @mcp/amazonaws-com-health

Environment Variables

AWS_HEALTH_APIS_AND_NOTIFICATIONS_API_KEY

Example: your_aws_health_apis_and_notifications_api_key

Top Endpoints

POST
/#X-Amz-Target=AWSHealth_20160804.DescribeAffectedAccountsForOrganization

DescribeAffectedAccountsForOrganization

POST
/#X-Amz-Target=AWSHealth_20160804.DescribeAffectedEntities

DescribeAffectedEntities

POST
/#X-Amz-Target=AWSHealth_20160804.DescribeAffectedEntitiesForOrganization

DescribeAffectedEntitiesForOrganization

POST
/#X-Amz-Target=AWSHealth_20160804.DescribeEntityAggregates

DescribeEntityAggregates

POST
/#X-Amz-Target=AWSHealth_20160804.DescribeEventAggregates

DescribeEventAggregates

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
The AWS Health API and Notifications service, provided by Amazon Web Services, serves as the programmatic backbone for the Personal Health Dashboard (PHD). This API delivers critical, account-specific information regarding AWS service events, planned changes, and other notifications that directly impact your cloud resources and operations. Its core capability lies in enabling developers, DevOps engineers, and enterprise platform teams to programmatically access and integrate real-time health data into their own tooling, automated workflows, and custom dashboards. Typical use cases span from automated incident response in large-scale enterprises—where multiple teams need immediate, machine-readable alerts—to compliance reporting and proactive capacity planning. By exposing endpoints for querying affected accounts, entities, events, and aggregations, it transforms the passive information in the PHD into an active, automatable component of an organization's cloud operations and reliability strategy.
🤖AI Agent Value
When exposed as tools via the Model Context Protocol (MCP) to an AI coding assistant, the AWS Health API becomes a powerful catalyst for context-aware, intelligent automation. Instead of a developer manually querying for service health status, an AI agent can directly invoke these endpoints to fetch live, actionable data. This integration allows the AI to move beyond static code generation and into dynamic, operational reasoning. For instance, the AI could automatically analyze the blast radius of an announced AWS service event by identifying all affected AWS resources, accounts, or specific entities within an architecture diagram described in code. It can then suggest or even execute remediation scripts, update status pages, or alert relevant teams, all based on the real-time health context retrieved directly from the API.
💬Example Workflows
An AI coding assistant empowered with these MCP tools can perform sophisticated, multi-step workflows. A developer could instruct: "Analyze the recent health events in our organization and generate a summary report identifying the most impacted AWS services over the last 30 days." The AI agent would chain calls to DescribeEventsForOrganization, DescribeEventDetailsForOrganization, and DescribeEventAggregates to compile and analyze this data. Another dynamic task could be: "For the next planned maintenance event affecting EC2, create a Python script using boto3 that will notify our SNS topic and automatically pause any non-essential Lambda functions that depend on those instances." Here, the AI uses DescribeEvents with a future date filter to retrieve the event, then generates the corresponding AWS SDK code to perform the automated mitigation, closing the loop between information and action.
🛡️Security & Auth
Critical security and configuration guidelines must be followed when implementing this MCP server. Authentication is paramount; the service itself requires AWS IAM authentication, and any MCP server acting as a proxy must securely handle AWS credentials, preferably using temporary roles with Security Token Service (STS). Adherence to the principle of least privilege is essential: IAM policies should grant only the specific Health API permissions (e.g., health:DescribeEvents) required for the intended use, and resource conditions should restrict access to specific AWS accounts or service events. All API calls should be executed through secure, encrypted channels (HTTPS), and any credentials managed by the MCP server should be stored in a secure secrets manager, never hard-coded. Comprehensive logging of all tool invocations and AI actions is necessary for auditing and maintaining operational integrity in a production environment.

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