AI agents use memory_record 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.
The name 'memory_record' strongly implies creating/writing a new memory record. Given the server context of cognitive memory management and sibling tools for recall/forget/correct, this tool most likely writes (records) new data into the memory store. No description is provided, so confidence is moderate. No evidence of destructive, financial, or execution behavior.
From the tool's definition Tool name 'memory_record' on a server described as providing 'cognitive memory tools (remember, recall, think, etc.)'; sibling tools include memory_correct, memory_forget, memory_get, memory_recall — suggesting this tool creates or stores a new memory entry.
Documented attack patterns abuse exactly the kind of access memory_record 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 memory_record:
{
"version": "1",
"default": "deny",
"tools": {
"memory_record": {
"limits": [
{
"counter": "memory_record_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}memory_record 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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memory_record. 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 memory_record: 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.
memory_record 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 memory_record 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 memory_record. 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.
memory_record 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.
Free to start. No card required.
14 Yantrikdb tools catalogued and risk-classified — across an index of 42,500+ MCP servers.