container_exec

A execute tool on the MCP Framework Personal MCP server.

SERVERMCP Framework Personal SOURCEinggerman/mcps

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/inggerman-mcps/container-exec.md

WHAT IT DOES

What container_exec does on MCP Framework Personal

AI agents invoke container_exec to trigger actions in MCP Framework Personal. 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 container_exec is rated High

The name 'container_exec' follows the well-known pattern of executing commands within a container (e.g., docker exec). Even though the description is empty, this naming convention is unambiguous in the DevOps/infrastructure world. Executing arbitrary commands inside a container can have wide blast radius — it could modify files, exfiltrate data, affect running services, or escape container boundaries.

From the tool's definition Tool name 'container_exec' strongly implies executing commands inside a container environment

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs container_exec safely

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

container_exec Rate-limited

container_exec 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": {
    "container_exec": {
      "limits": [
        {
          "counter": "container_exec_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 MCP Framework Personal, apply this rule, and every container_exec call is checked against it from then on.

FAQ

Questions about container_exec

What does the container_exec tool do? +

container_exec is a execute tool on the MCP Framework Personal MCP server. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on container_exec? +

Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for container_exec: 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 Framework Personal. Nothing to install.

What risk level is container_exec? +

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

Can I rate-limit container_exec? +

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

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

container_exec is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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