AI & ML

AWS IoT Analytics MCP Config

<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

Config URL

Use this URL in any MCP-compatible client to fetch the config automatically.

https://mcp-bridge.pages.dev/config/amazonaws-com-iotanalytics.json

Download JSON Claude Desktop Setup

Configuration JSON

Use curl https://mcp-bridge.pages.dev/config/amazonaws-com-iotanalytics.json to fetch programmatically.

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

How to Use

Claude Desktop

Paste the config JSON into your claude_desktop_config.json.

Full instructions →

Cursor

Go to Cursor Settings → MCP Servers → Add with the JSON above.

CLI / curl

Fetch the config programmatically:

curl https://mcp-bridge.pages.dev/config/amazonaws-com-iotanalytics.json

Environment Variables

AWS_IOT_ANALYTICS_API_KEY

Replace your_aws_iot_analytics_api_key with your actual 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

AWS IoT AnalyticsMCP Server Details →API Documentation →