High Risk

execute-command

Execute a shell command and return the output.

Accepts freeform code/query input (command)

Part of the Mem0 Memory Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

big-omega/mem0-mcp Execute Risk 4/5

AI agents invoke execute-command to trigger processes or run actions in Mem0 Memory Server. 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 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.

big-omega-mem0-mcp.yaml
tools:
  execute-command:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Mem0 Memory Server policy for all 4 tools.

Tool Name execute-command
Category Execute
Risk Level High
What does the execute-command tool do? +

Execute a shell command and return the output.. It is categorised as a Execute tool in the Mem0 Memory 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 execute-command? +

Add a rule in your Intercept YAML policy under the tools section for execute-command. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Mem0 Memory Server MCP server.

What risk level is execute-command? +

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

Can I rate-limit execute-command? +

Yes. Add a rate_limit block to the execute-command 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 completely? +

Set action: deny in the Intercept policy for execute-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.

What MCP server provides execute-command? +

execute-command is provided by the Mem0 Memory Server MCP server (big-omega/mem0-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Mem0 Memory Server

Open source. One binary. Zero dependencies.

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

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