AI agents use cluster_memories to create or update resources in Mnemex — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mnemex environment.
Clustering memories likely modifies how memories are organized or grouped within the system, making it a Write operation that alters data structure reversibly. It is not Read (no pure retrieval implied), Destructive (no deletion), Execute (no arbitrary code), Financial (no monetary impact), or Other. Severity is medium because misuse could corrupt memory organization, but effects are recoverable.
From the tool's definition Tool name 'cluster_memories' suggests grouping or reorganizing memory data. Sibling tools like 'consolidate_memories', 'promote_memory', and 'create_relation' indicate this server performs data modification operations.
Documented attack patterns abuse exactly the kind of access cluster_memories gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mnemex, and nothing reaches the server without passing your rules. This is the rule we recommend for cluster_memories:
{
"version": "1",
"default": "deny",
"tools": {
"cluster_memories": {
"limits": [
{
"counter": "cluster_memories_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}cluster_memories 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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cluster_memories. It is categorised as a Write tool in the Mnemex MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mnemex MCP server in PolicyLayer and add a rule for cluster_memories: 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 Mnemex. Nothing to install.
cluster_memories 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 cluster_memories 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 cluster_memories. 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.
cluster_memories is provided by the Mnemex MCP server (prefrontal-systems/cortexgraph). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 Mnemex tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
13 Mnemex tools catalogued and risk-classified — across an index of 42,500+ MCP servers.