Link related knowledge entries
AI agents use link_knowledge to create or update resources in Self-Improving Memory MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Self-Improving Memory MCP environment.
This tool creates relationships/links between existing knowledge entries. It modifies the knowledge graph by adding connections between nodes, which is a reversible write operation. Misuse could corrupt the knowledge graph's relational integrity, but entries themselves are not deleted.
From the tool's definition Link related knowledge entries
Attacks that exploit this kind of access
Link related knowledge entries. It is categorised as a Write tool in the Self-Improving Memory MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Self-Improving Memory MCP server in PolicyLayer and add a rule for link_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.
link_knowledge 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 link_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 link_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.
link_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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