Merge multiple entities into one. Moves all observations, embeddings, and relationships from source entities to target, then deletes sources. Use after consolidate mode:
AI agents call merge_entities to permanently remove resources in Hippocampus — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
While the merge operation also involves writing (moving data to the target), the defining and most severe aspect is that source entities are deleted after the merge. This deletion is irreversible — the original discrete entities cease to exist. Per the severity rules, Destructive outranks Write.
From the tool's definition 'then deletes sources' — source entities are permanently removed after merge; this is an irreversible deletion of entities, observations, embeddings, and relationships
Documented attack patterns abuse exactly the kind of access merge_entities gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Hippocampus, and nothing reaches the server without passing your rules. This is the rule we recommend for merge_entities:
{
"version": "1",
"default": "deny",
"hide": [
"merge_entities"
]
} merge_entities disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Merge multiple entities into one. Moves all observations, embeddings, and relationships from source entities to target, then deletes sources. Use after consolidate mode:. It is categorised as a Destructive tool in the Hippocampus MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Hippocampus MCP server in PolicyLayer and add a rule for merge_entities: 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 Hippocampus. Nothing to install.
merge_entities is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the merge_entities 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 merge_entities. 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.
merge_entities is provided by the Hippocampus MCP server (karrolcia/hippocampus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Hippocampus, 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.
11 Hippocampus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.