AI agents invoke execute_script to trigger actions in Ignition. 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 tool allows running arbitrary Python code on an Ignition SCADA gateway, a critical industrial control system. SCADA systems manage physical infrastructure and safety-critical processes. Arbitrary code execution on such systems poses severe risks: an AI agent could inadvertently or maliciously execute destructive commands, modify system configurations, disable safety controls, or cause physical harm.
From the tool's definition Tool name is 'execute_script' with description stating 'Execute a Python script on the Ignition gateway and return the result.' The word 'Execute' combined with 'Python script' and 'on the Ignition gateway' clearly indicates arbitrary code execution on an…
Attacks that exploit this kind of access
Execute a Python script on the Ignition gateway and return the result. It is categorised as a Execute tool in the Ignition MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ignition MCP server in PolicyLayer and add a rule for execute_script: 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 Ignition. Nothing to install.
execute_script 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 execute_script 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 execute_script. 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.
execute_script is provided by the Ignition MCP server (nodeblue-ai/ignition-mcp-server). 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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