// SCAN REPORT

Multi Agent Orchestrator MCP

13 tools. 10 can modify or destroy data without limits.

9 write tools that can modify data. Rate limits recommended.

Last updated: 1 Jul 2026

10 can modify or destroy data

3 read-only

13 tools total

Community server · catalogue entry verified 01/07/2026

How to control Multi Agent Orchestrator MCP ↓

TOOL MAP

What Multi Agent Orchestrator MCP exposes to your agents

Read (3) Write / Execute (9) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

High Risk

The most dangerous Multi Agent Orchestrator MCP tools

Execute · High advanced_generate_application The tool name suggests generating/building an application, which likely involves executing code generation, file creation, and potentially deployment steps. Execute · High auto_fix_code This tool automatically modifies code, which constitutes both writing and executing changes. Execute · High autonomous_architect Activating an autonomous agent that performs dynamic system design implies triggering external operations and potentially generating/modifying architectural artifacts. Execute · High evolutionary_prompt_optimization This tool activates an execution engine that performs self-improving/evolutionary optimization of prompts.

10 of Multi Agent Orchestrator MCP's 13 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control Multi Agent Orchestrator MCP

PolicyLayer is an MCP gateway — it sits between your AI agents and Multi Agent Orchestrator MCP, and nothing reaches the server without passing your rules. These are the rules we recommend:

Rate limit write operations

{
  "debug_server_config": {
    "limits": [
      {
        "counter": "debug_server_config_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "get_system_status": {
    "limits": [
      {
        "counter": "get_system_status_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register Multi Agent Orchestrator MCP — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON MULTI AGENT ORCHESTRATOR →

Instant setup, no code required.

FULL CATALOGUE

All 13 Multi Agent Orchestrator MCP tools

EXECUTE 7 tools

Execute advanced_generate_application advanced_generate_application Execute auto_fix_code Automatically fix code issues using self-healing capabilities Execute autonomous_architect Activate the Autonomous Architect Agent for dynamic system design Execute evolutionary_prompt_optimization Activate evolutionary prompt engine for self-improving AI communication Execute last_mile_cloud_deployment Activate Last Mile Cloud Agent for autonomous deployment and verification Execute orchestrate_task Orchestrate a complex development task using multiple AI agents Execute proactive_quality_assurance Activate proactive quality framework with policy-as-code

WRITE 2 tools

Write debug_server_config 🔧 TEMPORARY DEBUG TOOL - No authentication required Write generate_architecture Generate software architecture recommendations

READ 3 tools

Read get_system_status Get current system status and health metrics Read list_capabilities List all available capabilities and agent types including advanced upgrades Read ping Simple health check ping

OTHER 1 tools

Other hello Simple hello tool

FAQ

Questions about Multi Agent Orchestrator MCP

How do I prevent bulk modifications through Multi Agent Orchestrator MCP? +

The Multi Agent Orchestrator MCP server has 2 write tools including debug_server_config, generate_architecture. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Multi Agent Orchestrator MCP.

How many tools does the Multi Agent Orchestrator MCP server expose? +

13 tools across 2 categories: Read, Write. 3 are read-only. 10 can modify, create, or delete data.

How do I enforce a policy on Multi Agent Orchestrator MCP? +

Register the Multi Agent Orchestrator MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Multi Agent Orchestrator MCP tool call.

Deterministic rules across all 13 Multi Agent Orchestrator MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON MULTI AGENT ORCHESTRATOR →

Instant setup, no code required.

13 Multi Agent Orchestrator MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.