AWS Support MCP Server
The Amazon Web Services Support API is a comprehensive programmatic interface provided by AWS that enables developers, system administrators, and automated workflows to interact directly with the AWS Support Center.
Quick Start Summary
The AWS Support MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Support API through natural language. It exposes 10 API endpoints as callable tools, such as AddAttachmentsToSet, AddCommunicationToCase, CreateCase, 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-support. This integration is sourced from the auto AWS Support OpenAPI specification (v2013-04-15) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2013-04-15
- Install Command
npx -y @mcp/amazonaws-com-support
Environment Variables
AWS_SUPPORT_API_KEYExample: your_aws_support_api_key
Top Endpoints
/#X-Amz-Target=AWSSupport_20130415.AddAttachmentsToSetAddAttachmentsToSet
/#X-Amz-Target=AWSSupport_20130415.AddCommunicationToCaseAddCommunicationToCase
/#X-Amz-Target=AWSSupport_20130415.CreateCaseCreateCase
/#X-Amz-Target=AWSSupport_20130415.DescribeAttachmentDescribeAttachment
/#X-Amz-Target=AWSSupport_20130415.DescribeCasesDescribeCases
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"amazonaws-com-support": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-support"
],
"env": {
"AWS_SUPPORT_API_KEY": "your_aws_support_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-support": {
"url": "https://mcpbridge.org/config/amazonaws-com-support.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-support": {
"url": "https://mcpbridge.org/config/amazonaws-com-support.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS Support endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/support/2013-04-15/#X-Amz-Target=AWSSupport_20130415.AddAttachmentsToSet" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-support": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-support"],
"env": {
"AWS_SUPPORT_API_KEY": "your_aws_support_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking AWS Support endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2013-04-15
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
CreateCase request with the appropriate parameters. The AI can also use the DescribeCases and DescribeCommunications tools to pull a case history into the current conversation, allowing it to summarize updates or suggest next steps. Furthermore, it can programmatically refresh and retrieve Trusted Advisor checks to answer questions like “Are there any recent security recommendations for our S3 buckets?” This integration turns the AI into a proactive operations assistant that can diagnose issues, initiate support workflows, and provide data-driven advice based on real-time AWS account status.DescribeServices to verify the correct technical service code for Amazon RDS, then use DescribeSeverityLevels to select the appropriate level for a database failure. It can then create a new case with CreateCase, automatically attaching relevant logs or configuration files by using AddAttachmentsToSet. Once the case is open, the agent can be tasked to periodically run DescribeCommunications to monitor for AWS engineer responses and update the developer. Another scenario involves proactive maintenance: an AI agent can be configured to run DescribeTrustedAdvisorCheckRefreshStatuses and DescribeTrustedAdvisorCheckResult to scan for cost optimization or security vulnerabilities, then automatically create a low-severity case if critical issues are found, attaching the specific check results for context. These workflows shift support management from a manual, interrupt-driven process to an automated, intelligent service.support:* actions required for their use case, rather than broad administrative access. For enhanced security, it is strongly recommended to use IAM roles with temporary credentials in EC2 or Lambda, avoid hardcoding access keys, and utilize VPC endpoints if making calls from within an AWS VPC to keep traffic off the public internet. All API communication should occur over TLS 1.2 or higher, and sensitive attachment data should be encrypted at rest in S3 before being referenced. These practices ensure that while the API enables powerful automation, it does not become a vector for unauthorized access or data exposure within an organization’s AWS environment.Similar APIs
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