// SCAN REPORT

Cloud Agent MCP Server

9 tools. 3 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated: 12 Jun 2026

3 can modify or destroy data

6 read-only

9 tools total

Community server · catalogue entry verified 12/06/2026

How to control Cloud Agent MCP Server ↓

TOOL MAP

What Cloud Agent MCP Server exposes to your agents

Read (6) Write / Execute (2) Destructive / Financial (1)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

Critical Risk

The most dangerous Cloud Agent MCP Server tools

Destructive · High delete_task This tool irreversibly deletes data (tasks and associated conversation history) with no recovery mechanism. Execute · High add_followup This tool sends instructions to an actively running autonomous agent working on a GitHub repository. Execute · High create_task This tool triggers an autonomous agent to execute work on a GitHub repository, which can include code changes and pull request generation.

3 of Cloud Agent MCP Server's 9 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control Cloud Agent MCP Server

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

Deny destructive operations

{
  "delete_task": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Cap read operations

{
  "get_conversation": {
    "limits": [
      {
        "counter": "get_conversation_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 Cloud Agent MCP Server — 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 CLOUD AGENT →

Free to start. No card required.

FULL CATALOGUE

All 9 Cloud Agent MCP Server tools

DESTRUCTIVE 1 tools

Destructive delete_task Permanently delete a cloud task. This action cannot be undone and all conversation history will be lost. Use t

EXECUTE 2 tools

Execute add_followup Send additional instructions to a RUNNING task. Use this to guide the task, request changes, provide clarifica Execute create_task Launch a new cloud task to work on a repository. Requires a repository URL and task prompt. Returns a task ID

READ 6 tools

Read get_conversation Get the complete conversation history of a task including the original prompt, all follow-ups, and every task Read get_me Get API key information including name, creation date, and user email. Use this to verify authentication is wo Read get_models List all available LLM models for cloud tasks. If you omit the model parameter in \ Read get_repos Get available repositories. First checks if you are in a git directory and returns that repo as Read get_task Get the current status and full details of a specific cloud task. Returns comprehensive information including Read list_tasks List all cloud tasks for the authenticated user. Returns comprehensive information including IDs, status, repo

EXPLORE

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

FAQ

Questions about Cloud Agent MCP Server

Can an AI agent delete data through the Cloud Agent MCP Server MCP server? +

Yes. The Cloud Agent MCP Server server exposes 1 destructive tools including delete_task. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How many tools does the Cloud Agent MCP Server MCP server expose? +

9 tools across 3 categories: Destructive, Read, Write. 6 are read-only. 3 can modify, create, or delete data.

How do I enforce a policy on Cloud Agent MCP Server? +

Register the Cloud Agent MCP Server 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 Cloud Agent MCP Server tool call.

Deterministic rules across all 9 Cloud Agent MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON CLOUD AGENT →

Free to start. No card required.

9 Cloud Agent MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.