AWS IoT SiteWise MCP Server

72 tools. 33 can modify or destroy data without limits.

7 destructive tools with no built-in limits. Policy required.

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33 can modify or destroy data
39 read-only
72 tools total
Read (39) Write / Execute (26) Destructive / Financial (7)

Financial operations (cancel_metadata_transfer_job, create_metadata_transfer_job) can move real money. An agent caught in a loop could drain accounts before anyone notices.

Destructive tools (delete_asset, delete_asset_model, delete_computation_model) permanently delete resources. There is no undo. An agent calling these in a retry loop causes irreversible damage.

Write operations (batch_put_asset_property_value, convert_multiple_timestamps, convert_unix_timestamp) modify state. Without rate limits, an agent can make hundreds of changes in seconds — faster than any human can review or revert.

Execute tools (execute_action, execute_inference_action, execute_query) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.

Block financial tools by default
cancel_metadata_transfer_job:
  rules:
    - action: deny

Financial tools should be explicitly enabled per use case, not open by default.

Deny destructive operations
delete_asset:
  rules:
    - action: deny

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
batch_put_asset_property_value:
  rules:
    - rate_limit: 30/hour

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
associate_assets:
  rules:
    - rate_limit: 60/minute

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Can an AI agent move money through the AWS IoT SiteWise MCP Server MCP server? +

Yes. The AWS IoT SiteWise MCP Server server exposes 2 financial tools including cancel_metadata_transfer_job, create_metadata_transfer_job. Without a policy, an autonomous agent can call these with no spend caps, no rate limits, and no approval flow. Intercept lets you block financial tools by default or set per-tool rate limits.

Can an AI agent delete data through the AWS IoT SiteWise MCP Server MCP server? +

Yes. The AWS IoT SiteWise MCP Server server exposes 5 destructive tools including delete_asset, delete_asset_model, delete_computation_model. These permanently remove resources with no undo. Intercept blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through AWS IoT SiteWise MCP Server? +

The AWS IoT SiteWise MCP Server server has 22 write tools including batch_put_asset_property_value, convert_multiple_timestamps, convert_unix_timestamp. Set rate limits in your policy file -- for example, rate_limit: 10/hour prevents an agent from making more than 10 modifications per hour. Intercept enforces this at the transport layer.

How many tools does the AWS IoT SiteWise MCP Server MCP server expose? +

72 tools across 5 categories: Destructive, Execute, Financial, Read, Write. 39 are read-only. 33 can modify, create, or delete data.

How do I add Intercept to my AWS IoT SiteWise MCP Server setup? +

One line change. Instead of running the AWS IoT SiteWise MCP Server server directly, prefix it with Intercept: intercept -c aws-iot-sitewise-mcp-server.yaml -- npx -y @awslabs.aws-iot-sitewise-mcp-server. Download a pre-built policy from policylayer.com/policies/aws-iot-sitewise-mcp-server and adjust the limits to match your use case.

Other MCP servers with similar tools.

Starter policies available for each. Same risk classification, same one-command setup.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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