Cluster knowledge entries by semantic similarity
AI agents call cluster_knowledge to retrieve information from Self-Improving Memory MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool groups/organizes existing knowledge entries by semantic similarity. It reads and analyzes existing data to produce clusters but does not modify, delete, or execute anything. It is a read/analysis operation with low blast radius.
From the tool's definition Cluster knowledge entries by semantic similarity
Attacks that exploit this kind of access
Cluster knowledge entries by semantic similarity. It is categorised as a Read tool in the Self-Improving Memory MCP MCP Server, which means it retrieves data without modifying state.
Register the Self-Improving Memory MCP server in PolicyLayer and add a rule for cluster_knowledge: 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 Self-Improving Memory MCP. Nothing to install.
cluster_knowledge 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 cluster_knowledge 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 cluster_knowledge. 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.
cluster_knowledge is provided by the Self-Improving Memory MCP server (superpitt/self-improving-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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