AI agents use memcp_remember to create or update resources in Memcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Memcp environment.
The tool name 'remember' strongly implies writing/storing data to persistent memory, consistent with the server's purpose of storing knowledge. Sibling tools like 'memcp_forget' (delete) and 'memcp_get_context' (read) further suggest this tool creates or updates stored memories. Classified as Write since storage is generally reversible (the forget tool exists). Confidence is moderate because the description is empty.
From the tool's definition Tool name 'memcp_remember' on a server described as allowing Claude to 'store, organize, and retrieve knowledge across sessions' — the 'remember' verb implies storing/writing data.
Documented attack patterns abuse exactly the kind of access memcp_remember gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Memcp, and nothing reaches the server without passing your rules. This is the rule we recommend for memcp_remember:
{
"version": "1",
"default": "deny",
"tools": {
"memcp_remember": {
"limits": [
{
"counter": "memcp_remember_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}memcp_remember 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.
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memcp_remember. It is categorised as a Write tool in the Memcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Me MCP server in PolicyLayer and add a rule for memcp_remember: 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 Memcp. Nothing to install.
memcp_remember is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the memcp_remember 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.
Set action: deny in the PolicyLayer policy for memcp_remember. 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.
memcp_remember is provided by the Me MCP server (maydali28/memcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Memcp, 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.
24 Memcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.