deploy_scenario

THE RISK

High Risk

Why deploy_scenario needs a policy

While 'deploy' suggests a Write operation (creating/modifying a scenario deployment), the nature of deploying a mock server is fundamentally an Execute action: it triggers and runs external processes/services whose behavior and side-effects depend on the scenario arguments. This crosses into Execute category because it initiates operational changes in running systems.

From the tool's definition Deploys scenario to MockLoop server - the verb 'deploy' combined with the context that this MCP server spins up mock API servers indicates the tool triggers external operations that run mock backends.

Documented attack patterns abuse exactly the kind of access deploy_scenario gives an agent:

POLICY

How to control deploy_scenario

PolicyLayer is an MCP gateway — it sits between your AI agents and MockLoop MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for deploy_scenario:

policy.json

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

deploy_scenario 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.

Create a free account and register MockLoop MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More MockLoop MCP Server tools

Execute execute_test_plan Combines scenario generation and deployment in one operation. Execute run_load_test Executes load testing with configurable parameters. Execute run_security_test Executes security testing scenarios for vulnerability assessment. Execute run_test_iteration Executes a single test iteration with monitoring. Execute generate_mock_api Generates a FastAPI mock server from an API specification (e.g., OpenAPI). Execute schedule_test_suite Schedules automated test suite execution. Execute switch_scenario Switches active scenario on a server. Write end_test_session Ends a test session and generates final reports.

All 30 MockLoop MCP Server tools →

Execute tools on other servers

Android Forensics ADB MCP Server adb_shell_command EMBA-MCP run_emba_scan Frida Game Hacking MCP remove_breakpoint Procmon request_elevation

Go deeper

High-risk tools in MockLoop MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about deploy_scenario

What does the deploy_scenario tool do? +

Deploys scenario to MockLoop server. It is categorised as a Execute tool in the MockLoop 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 deploy_scenario? +

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

What risk level is deploy_scenario? +

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

Can I rate-limit deploy_scenario? +

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

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

deploy_scenario is provided by the MockLoop MCP Server MCP server (mockloop/mockloop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MockLoop MCP Server tool call.

Start from MockLoop MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →