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DatabasesAuto-generatedScore: 46

AWS Performance Insights MCP Server

<fullname>Amazon RDS Performance Insights</fullname> <p>Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. The guide provides detailed information about Performance Insights data types, parameter

Quick Answer

  1. 1. The AWS Performance Insights MCP server lets Claude, Cursor, and VS Code interact with the AWS Performance Insights API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 6 operations available including DescribeDimensionKeys, GetDimensionKeyDetails, GetResourceMetadata, and more.
  4. 4. Quality score: 46/99 — fair source quality and documentation coverage.

Overview

Category: Databases

Auth: None

Endpoints: 6

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-pi

Spec: v2018-02-27

Setup time: ~30 sec (no auth)

Environment Variables

AWS_PERFORMANCE_INSIGHTS_API_KEY

Example: your_aws_performance_insights_api_key

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-pi": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-pi"
      ],
      "env": {
        "AWS_PERFORMANCE_INSIGHTS_API_KEY": "your_aws_performance_insights_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "amazonaws-com-pi": {
      "url": "https://mcpbridge.org/config/amazonaws-com-pi.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "amazonaws-com-pi": {
      "url": "https://mcpbridge.org/config/amazonaws-com-pi.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "amazonaws-com-pi": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-pi"],
      "env": {
      "AWS_PERFORMANCE_INSIGHTS_API_KEY": "your_aws_performance_insights_api_key"
}
    }
  }
}

What You Can Build

With the AWS Performance Insights MCP server, your AI assistant can:

  • Access 6 API operations through natural language
  • Read, create, and modify databases resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

POST/#X-Amz-Target=PerformanceInsightsv20180227.DescribeDimensionKeys

DescribeDimensionKeys

POST/#X-Amz-Target=PerformanceInsightsv20180227.GetDimensionKeyDetails

GetDimensionKeyDetails

POST/#X-Amz-Target=PerformanceInsightsv20180227.GetResourceMetadata

GetResourceMetadata

POST/#X-Amz-Target=PerformanceInsightsv20180227.GetResourceMetrics

GetResourceMetrics

POST/#X-Amz-Target=PerformanceInsightsv20180227.ListAvailableResourceDimensions

ListAvailableResourceDimensions

POST/#X-Amz-Target=PerformanceInsightsv20180227.ListAvailableResourceMetrics

ListAvailableResourceMetrics

Documentation →

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 2018-02-27

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

46/99Fair
  • +Auto-generated (+12)
  • +Has documentation (+12)
  • +OpenAPI spec available (+8)
  • +6 endpoints (+14)

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