awslabs.aws-iot-sitewise-mcp-server

Level ALocal

An AWS Labs Model Context Protocol (MCP) server for aws-iot-sitewise

Overview

An MCP server that gives AI assistants full AWS IoT SiteWise capabilities for industrial IoT. It covers asset and asset model creation, hierarchy linking, and property management, plus batch and real-time data ingestion, historical time-series queries, aggregations, and interpolation. It also manages edge gateways, bulk import/export between S3 and SiteWise via metadata transfer jobs, and anomaly detection and computation models for training and inference.

⭐ 9.9kDevOps & DeploymentPythonRepo ↗Updated 2026-11-02

Installation

MCP client config (paste into mcp.json)

{
  "mcpServers": {
    "awslabs-mcp-src-aws-iot-sitewise-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.aws-iot-sitewise-mcp-server@latest"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

Agent install prompt

Copy and paste into Cursor / Claude / other agents to install this MCP for you

Please read this MCP repository and install it into my current environment:
https://github.com/awslabs/mcp/tree/main/src/aws-iot-sitewise-mcp-server

Known working client config (can write into mcp.json):
{
  "mcpServers": {
    "awslabs-mcp-src-aws-iot-sitewise-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.aws-iot-sitewise-mcp-server@latest"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

Please: 1) check README for deps and env vars; 2) write config for my client; 3) if secrets are missing, tell me what to fill — do not invent values.

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