Control and manage Plugwise smart home devices using natural language instructions. This tool can discover hubs, list devices, control temperature, monitor energy usage, and manage all aspects of your Plugwise system. Simply provide instructions in plain English.
AI agents invoke manage_plugwise to trigger actions in Plugwise MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This is a meta-tool that accepts arbitrary natural language instructions and can perform any action across the entire Plugwise system — including temperature control, energy management, hub discovery, and 'all aspects' of the system.
From the tool's definition 'Control and manage Plugwise smart home devices using natural language instructions. This tool can discover hubs, list devices, control temperature, monitor energy usage, and manage all aspects of your Plugwise system.
Attacks that exploit this kind of access
Control and manage Plugwise smart home devices using natural language instructions. This tool can discover hubs, list devices, control temperature, monitor energy usage, and manage all aspects of your Plugwise system. Simply provide instructions in plain English. It is categorised as a Execute tool in the Plugwise MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Plugwise MCP Server MCP server in PolicyLayer and add a rule for manage_plugwise: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Plugwise MCP Server. Nothing to install.
manage_plugwise is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the manage_plugwise rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for manage_plugwise. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
manage_plugwise is provided by the Plugwise MCP Server MCP server (tommertom/plugwise-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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