Medium Risk

sync_platforms

sync_platforms

How to control sync_platforms ↓

What sync_platforms does on myAI Memory Sync

AI agents use sync_platforms to create or update resources in myAI Memory Sync — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your myAI Memory Sync environment.

Medium Risk

Why sync_platforms needs a policy

The tool name 'sync_platforms' combined with the server's purpose of synchronizing data across multiple Claude interfaces strongly suggests this tool writes/propagates data to multiple platforms simultaneously. The sibling tools (update_section, update_template, remember) confirm this is a write-oriented server.

From the tool's definition Tool name 'sync_platforms' on a server designed to synchronize user preferences, personal details, and code standards across multiple Claude interfaces

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

How to control sync_platforms

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "sync_platforms": {
      "limits": [
        {
          "counter": "sync_platforms_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

sync_platforms stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register myAI Memory Sync — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about sync_platforms

What does the sync_platforms tool do? +

sync_platforms. It is categorised as a Write tool in the myAI Memory Sync MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on sync_platforms? +

Register the myAI Memory Sync MCP server in PolicyLayer and add a rule for sync_platforms: 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 myAI Memory Sync. Nothing to install.

What risk level is sync_platforms? +

sync_platforms is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit sync_platforms? +

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

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

sync_platforms is provided by the myAI Memory Sync MCP server (jktfe/myaimemory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every myAI Memory Sync tool call.

Start from myAI Memory Sync, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

10 myAI Memory Sync tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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