broadcast_to_cluster
AI agents invoke broadcast_to_cluster to trigger actions in Cluster Execution 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.
The tool name 'broadcast_to_cluster' strongly implies sending commands or messages to all nodes in a distributed cluster simultaneously. Given the server's explicit purpose of cluster-aware command execution, SSH-based remote node management, and parallel execution, broadcasting likely triggers execution across multiple nodes at once.
From the tool's definition Tool name 'broadcast_to_cluster' on a server that 'Enables cluster-aware command execution' with 'parallel execution, remote node management via SSH, and dynamic load balancing'.
Attacks that exploit this kind of access
broadcast_to_cluster. It is categorised as a Execute tool in the Cluster Execution MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cluster Execution MCP Server MCP server in PolicyLayer and add a rule for broadcast_to_cluster: 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 Cluster Execution MCP Server. Nothing to install.
broadcast_to_cluster 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 broadcast_to_cluster 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 broadcast_to_cluster. 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.
broadcast_to_cluster is provided by the Cluster Execution MCP Server MCP server (marc-shade/cluster-execution-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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