Save a persistent observation (decision, architecture, bugfix, pattern, learning, discovery).
AI agents use mem_save to create or update resources in Qontinui MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Qontinui MCP Server environment.
The tool writes new records or observations to persistent storage without irreversibly deleting data or executing code. It is a reversible data creation/modification action typical of logging, note-taking, or knowledge-base operations. No destructive, financial, or execution-level side effects are evident.
From the tool's definition Tool description states 'Save a persistent observation' — this creates or stores data (decisions, architecture notes, bugfixes, patterns, learnings, discoveries) in a persistent store.
Attacks that exploit this kind of access
Save a persistent observation (decision, architecture, bugfix, pattern, learning, discovery). It is categorised as a Write tool in the Qontinui MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Qontinui MCP Server MCP server in PolicyLayer and add a rule for mem_save: 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 Qontinui MCP Server. Nothing to install.
mem_save 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 mem_save 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 mem_save. 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.
mem_save is provided by the Qontinui MCP Server MCP server (qontinui/qontinui-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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