AI agents use entity_relate to create or update resources in Yantrikdb — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yantrikdb environment.
Based on the tool name 'entity_relate' and the context of a cognitive memory MCP server, this tool likely creates or updates relationships (edges) between memory entities. The sibling tool 'entity_edges' suggests a graph-like structure where relationships can be read; 'entity_relate' likely writes new relationships.
From the tool's definition Tool name 'entity_relate' suggests creating or modifying relationships between entities. Description is empty, providing no further information.
Documented attack patterns abuse exactly the kind of access entity_relate gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Yantrikdb, and nothing reaches the server without passing your rules. This is the rule we recommend for entity_relate:
{
"version": "1",
"default": "deny",
"tools": {
"entity_relate": {
"limits": [
{
"counter": "entity_relate_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}entity_relate 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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entity_relate. It is categorised as a Write tool in the Yantrikdb MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Yantrikdb MCP server in PolicyLayer and add a rule for entity_relate: 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 Yantrikdb. Nothing to install.
entity_relate 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 entity_relate 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 entity_relate. 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.
entity_relate is provided by the Yantrikdb MCP server (yantrikos/yantrikdb-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Yantrikdb tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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14 Yantrikdb tools catalogued and risk-classified — across an index of 42,500+ MCP servers.