memcp_retention_run
AI agents invoke memcp_retention_run to trigger actions in Memcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The name suggests running a retention process (likely a cleanup or policy enforcement job) on stored memory/context data. 'Run' implies execution of a process. Without a description, exact behavior is unknown, but in the context of a memory server with tools like 'forget' and 'consolidate', a retention run likely executes an automated policy that could modify or delete data.
From the tool's definition Tool name 'memcp_retention_run' combined with server context of persistent memory management; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access memcp_retention_run 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_retention_run:
{
"version": "1",
"default": "deny",
"tools": {
"memcp_retention_run": {
"limits": [
{
"counter": "memcp_retention_run_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}memcp_retention_run stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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memcp_retention_run. It is categorised as a Execute tool in the Memcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Me MCP server in PolicyLayer and add a rule for memcp_retention_run: 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_retention_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the memcp_retention_run 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_retention_run. 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_retention_run 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.