Koi bhi terminal command chalao project directory mein
AI agents invoke shell_run to trigger actions in Universal Dev MCP. 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.
Shell command execution is a quintessential Execute category risk: it can trigger external operations, install packages, modify system state, exfiltrate data, or destroy infrastructure depending on arguments.
From the tool's definition Tool name is 'shell_run' and description states it runs 'koi bhi terminal command' (any terminal command) in the project directory. This permits arbitrary shell command execution.
Attacks that exploit this kind of access
Koi bhi terminal command chalao project directory mein. It is categorised as a Execute tool in the Universal Dev MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Universal Dev MCP server in PolicyLayer and add a rule for shell_run: 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 Universal Dev MCP. Nothing to install.
shell_run 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 shell_run 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 shell_run. 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.
shell_run is provided by the Universal Dev MCP server (kallusuvaidyam/universal_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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