AI agents invoke run_script to trigger actions in MCPMake. 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 executes arbitrary Python scripts with user-supplied arguments. Even though the scripts are pre-registered, execution remains contingent on runtime arguments, making outcomes unpredictable. An LLM could invoke this with malicious or unintended arguments causing uncontrolled side effects (file I/O, network calls, resource consumption).
From the tool's definition Tool description states 'Run a registered script with arguments'. The server enables 'execution of Python scripts' with 'automatic LLM-extracted argument schemas'.
Attacks that exploit this kind of access
Run a registered script with arguments. It is categorised as a Execute tool in the MCPMake MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCPMake MCP server in PolicyLayer and add a rule for run_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 MCPMake. Nothing to install.
run_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 run_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 run_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.
run_script is provided by the MCPMake MCP server (shex1627/mcpmake). 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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