AI & MLAuto-generated

AWS IoT Analytics MCP Server

<p>IoT Analytics allows you to collect large amounts of device data, process messages, and store them. You can then query the data and run sophisticated analytics on it. IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integrat

Quick Setup

Transport: STDIO

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

Environment Variables

AWS_IOT_ANALYTICS_API_KEY

Example: your_aws_iot_analytics_api_key

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-iotanalytics": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-iotanalytics"],
      "env": {
      "AWS_IOT_ANALYTICS_API_KEY": "your_aws_iot_analytics_api_key"
}
    }
  }
}

Endpoints

POST/messages/batch

BatchPutMessage

DELETE/pipelines/{pipelineName}/reprocessing/{reprocessingId}

CancelPipelineReprocessing

GET/channels

ListChannels

POST/channels

CreateChannel

GET/datasets

ListDatasets

POST/datasets

CreateDataset

GET/datasets/{datasetName}/content

GetDatasetContent

POST/datasets/{datasetName}/content

CreateDatasetContent

DELETE/datasets/{datasetName}/content

DeleteDatasetContent

GET/datastores

ListDatastores

Official Documentation →