High Risk →

api_executor

Execute a live HTTP request to an external URL. Returns real status, headers, and response body. Private IPs are blocked.

Risk signalsAccepts URL/endpoint input (url) · Accepts raw HTML/template content (body)

Part of the Interactive Api Playground server.

api_executor can trigger actions in Interactive Api Playground, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke api_executor to trigger processes or run actions in Interactive Api Playground. 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.

api_executor can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "api_executor": {
      "limits": [
        {
          "counter": "api_executor_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Interactive Api Playground policy for all 5 tools.

Get this rule live on your own Interactive Api Playground server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access api_executor gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so api_executor only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the api_executor tool do? +

Execute a live HTTP request to an external URL. Returns real status, headers, and response body. Private IPs are blocked.. It is categorised as a Execute tool in the Interactive Api Playground MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on api_executor? +

Register the Interactive Api Playground MCP server in PolicyLayer and add a rule for api_executor: 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 Interactive Api Playground. Nothing to install.

What risk level is api_executor? +

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

Can I rate-limit api_executor? +

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

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

api_executor is provided by the Interactive Api Playground MCP server (https://api.lazy-mac.com/interactive-api-playground/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Interactive Api Playground tool call.

Deterministic rules across all 5 Interactive Api Playground tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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