MCP AI Memory

17 tools. 8 can modify or destroy data without limits.

3 destructive tools with no built-in limits. Policy required.

Last updated:

8 can modify or destroy data
9 read-only
17 tools total

Community server · catalogue entry verified 11/06/2026

How to control MCP AI Memory ↓

Read (9) Write / Execute (5) Destructive / Financial (3)
Critical Risk

8 of MCP AI Memory's 17 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

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

Deny destructive operations
{
  "memory_batch_delete": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

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

Rate limit write operations
{
  "memory_batch": {
    "limits": [
      {
        "counter": "memory_batch_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "memory_consolidate": {
    "limits": [
      {
        "counter": "memory_consolidate_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

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

  1. Create a free account and register MCP AI Memory — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON MCP AI MEMORY →

Free to start. No card required.

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

Can an AI agent delete data through the MCP AI Memory MCP server? +

Yes. The MCP AI Memory server exposes 3 destructive tools including memory_batch_delete, memory_delete, memory_unrelate. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through MCP AI Memory? +

The MCP AI Memory server has 5 write tools including memory_batch, memory_preserve, memory_relate. 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 MCP AI Memory.

How many tools does the MCP AI Memory MCP server expose? +

17 tools across 3 categories: Destructive, Read, Write. 9 are read-only. 8 can modify, create, or delete data.

How do I enforce a policy on MCP AI Memory? +

Register the MCP AI Memory 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 MCP AI Memory tool call.

Deterministic rules across all 17 MCP AI Memory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

17 MCP AI Memory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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