pip_install

Install Python packages using pip

SERVERCode MCP Server SOURCEagentics-ai/code-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/agentics-ai-code-mcp/pip-install.md

WHAT IT DOES

What pip_install does on Code MCP Server

AI agents invoke pip_install to trigger actions in Code MCP 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.

RISK

Why pip_install is rated High

Installing Python packages executes pip, which downloads and installs arbitrary code into the Python environment. This can introduce malicious packages, alter dependencies, or compromise the runtime environment. It is an external operation with side effects beyond mere data writing.

From the tool's definition Install Python packages using pip

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pip_install safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Code MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pip_install, this is the rule to start with:

pip_install Rate-limited

pip_install stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pip_install": {
      "limits": [
        {
          "counter": "pip_install_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Code MCP Server, apply this rule, and every pip_install call is checked against it from then on.

FAQ

Questions about pip_install

What does the pip_install tool do? +

Install Python packages using pip. It is categorised as a Execute tool in the Code MCP 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 pip_install? +

Register the Code MCP Server MCP server in PolicyLayer and add a rule for pip_install: 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 Code MCP Server. Nothing to install.

What risk level is pip_install? +

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

Can I rate-limit pip_install? +

Yes. Add a rate_limit block to the pip_install 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 pip_install completely? +

Set action: deny in the PolicyLayer policy for pip_install. 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 pip_install? +

pip_install is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Code MCP Server, and thousands of servers like it.

This server

All 73 Code MCP Server tools → High-risk tools on this server →

Across the catalogue

All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →