Get coding pattern recommendations learned from this codebase. Use this when implementing new features to follow existing patterns (e.g.,
AI agents call get_pattern_recommendations to retrieve information from In Memoria without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves pattern data to inform coding decisions. It has no side effects—it does not create, modify, delete, or execute operations. It is purely informational, making it a Read category risk with low severity since misuse would only expose existing pattern knowledge without capability to harm systems or data.
From the tool's definition Tool name 'get_pattern_recommendations' and description indicate retrieval of learned coding patterns from a codebase.
Documented attack patterns abuse exactly the kind of access get_pattern_recommendations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and In Memoria, and nothing reaches the server without passing your rules. This is the rule we recommend for get_pattern_recommendations:
{
"version": "1",
"default": "deny",
"tools": {
"get_pattern_recommendations": {}
}
}get_pattern_recommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get coding pattern recommendations learned from this codebase. Use this when implementing new features to follow existing patterns (e.g.,. It is categorised as a Read tool in the In Memoria MCP Server, which means it retrieves data without modifying state.
Register the In Memoria MCP server in PolicyLayer and add a rule for get_pattern_recommendations: 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 In Memoria. Nothing to install.
get_pattern_recommendations is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_pattern_recommendations 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 get_pattern_recommendations. 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.
get_pattern_recommendations is provided by the In Memoria MCP server (pi22by7/in-memoria). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 In Memoria tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
14 In Memoria tools catalogued and risk-classified — across an index of 42,500+ MCP servers.