Execute an allowed command in the workspace. Only commands in the allowlist can be executed.
AI agents invoke run_command to trigger actions in MCP Workspace 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 tool runs commands, making it Execute-category by definition. Severity is high because: (1) even allowlisted commands can be chained or combined in unexpected ways by an agent; (2) command execution can trigger side effects across the system (file I/O, network calls, process spawning); (3) the blast radius depends on what the allowlist contains and how an agent constructs arguments.
From the tool's definition Tool description states 'Execute an allowed command in the workspace' — the verb 'Execute' directly indicates code/command execution. Server description mentions 'controlled command execution capabilities'.
Attacks that exploit this kind of access
Execute an allowed command in the workspace. Only commands in the allowlist can be executed. It is categorised as a Execute tool in the MCP Workspace Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Workspace Server MCP server in PolicyLayer and add a rule for run_command: 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 MCP Workspace Server. Nothing to install.
run_command 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_command 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_command. 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_command is provided by the MCP Workspace Server MCP server (shayyeffet/ultimate_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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