Store a project rule or insight.
AI agents use store_insight to create or update resources in myBrAIn — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your myBrAIn environment.
This tool writes data to persistent storage (a project rule or insight), which is a reversible write operation. It does not delete, execute code, or involve financial transactions. Misuse could lead to corrupted or malicious rules being stored and later recalled to influence AI behavior across sessions, hence medium severity.
From the tool's definition 'Store a project rule or insight' — creates/persists new data (rules or insights) in the memory system
Documented attack patterns abuse exactly the kind of access store_insight gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and myBrAIn, and nothing reaches the server without passing your rules. This is the rule we recommend for store_insight:
{
"version": "1",
"default": "deny",
"tools": {
"store_insight": {
"limits": [
{
"counter": "store_insight_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}store_insight 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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Store a project rule or insight. It is categorised as a Write tool in the myBrAIn MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the myBrAIn MCP server in PolicyLayer and add a rule for store_insight: 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 myBrAIn. Nothing to install.
store_insight 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 store_insight 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 store_insight. 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.
store_insight is provided by the myBrAIn MCP server (lilium360/mybrain). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from myBrAIn, 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.
5 myBrAIn tools catalogued and risk-classified — across an index of 43,000+ MCP servers.