package_manager

Manage packages with npm, yarn, pip, composer, and other package managers

Server MCP Workspace Server shayyeffet/ultimate_mcp_server
Category Execute
Risk class High
Parameters 00 required

What package_manager does on MCP Workspace Server

AI agents invoke package_manager 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.

Why package_manager needs a policy

Package managers execute shell-level commands that install third-party code into the environment, modify dependency trees, run install scripts (which can execute arbitrary code), and alter the system state. This goes beyond a simple write operation — npm/pip install scripts can run arbitrary code at install time, making this an Execute-level action.

From the tool's definition 'Manage packages with npm, yarn, pip, composer, and other package managers' — package management involves running external commands that install, update, or remove software dependencies on the system.

Questions about package_manager

What does the package_manager tool do? +

Manage packages with npm, yarn, pip, composer, and other package managers. 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.

How do I enforce a policy on package_manager? +

Register the MCP Workspace Server MCP server in PolicyLayer and add a rule for package_manager: 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.

What risk level is package_manager? +

package_manager is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit package_manager? +

Yes. Add a rate_limit block to the package_manager 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.

How do I block package_manager completely? +

Set action: deny in the PolicyLayer policy for package_manager. 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.

What MCP server provides package_manager? +

package_manager 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.

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