High Risk →

execute_command_application

Execute command in application container

Part of the Coolify MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

coolify-mcp-server Execute Risk 3/5

AI agents invoke execute_command_application to trigger processes or run actions in Coolify. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_command_application can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

coolify.yaml
tools:
  execute_command_application:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Coolify policy for all 26 tools.

Tool Name execute_command_application
Category Execute
MCP Server Coolify MCP Server
Risk Level High

View all 26 tools →

Agents calling execute-class tools like execute_command_application have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

execute_command_application is one of the high-risk operations in Coolify. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the execute_command_application tool do? +

Execute command in application container. It is categorised as a Execute tool in the Coolify MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_command_application? +

Add a rule in your Intercept YAML policy under the tools section for execute_command_application. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Coolify MCP server.

What risk level is execute_command_application? +

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

Can I rate-limit execute_command_application? +

Yes. Add a rate_limit block to the execute_command_application rule in your Intercept 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 execute_command_application completely? +

Set action: deny in the Intercept policy for execute_command_application. 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 execute_command_application? +

execute_command_application is provided by the Coolify MCP server (coolify-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Coolify

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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