AWS X-Ray MCP Server
Amazon Web Services X-Ray is a comprehensive distributed tracing service provided by AWS that enables developers to analyze, debug, and optimize applications deployed in the AWS cloud or on-premises environments.
Quick Start Summary
The AWS X-Ray MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS X-Ray API through natural language. It exposes 10 API endpoints as callable tools, such as BatchGetTraces, CreateGroup, CreateSamplingRule, 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-xray. This integration is sourced from the auto AWS X-Ray OpenAPI specification (v2016-04-12) 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
- v2016-04-12
- Install Command
npx -y @mcp/amazonaws-com-xray
Environment Variables
AWS_X_RAY_API_KEYExample: your_aws_x_ray_api_key
Top Endpoints
/TracesBatchGetTraces
/CreateGroupCreateGroup
/CreateSamplingRuleCreateSamplingRule
/DeleteGroupDeleteGroup
/DeleteResourcePolicyDeleteResourcePolicy
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-xray": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-xray"
],
"env": {
"AWS_X_RAY_API_KEY": "your_aws_x_ray_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-xray": {
"url": "https://mcpbridge.org/config/amazonaws-com-xray.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-xray": {
"url": "https://mcpbridge.org/config/amazonaws-com-xray.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS X-Ray endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/xray/2016-04-12/Traces" \ -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-xray": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-xray"],
"env": {
"AWS_X_RAY_API_KEY": "your_aws_x_ray_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 X-Ray 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: v2016-04-12
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
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xray:GetTraceSummaries, xray:CreateGroup) for the intended MCP functionality, and explicitly deny all others. All credential management must occur outside of any code or configuration stored in version control, using secure mechanisms like environment variables, AWS Secrets Manager, or IAM roles for service accounts where applicable. Furthermore, care should be taken to ensure that trace data, which may contain sensitive user information, is properly masked or filtered in accordance with data privacy regulations.Similar APIs
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