memory_sync_push

memory_sync_push

Server Junto Memory tlemmons/junto-memory
Category Write
Risk class Medium
Parameters 00 required

What memory_sync_push does on Junto Memory

AI agents use memory_sync_push to create or update resources in Junto Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Junto Memory environment.

Why memory_sync_push needs a policy

An AI agent can call memory_sync_push faster than any human can review — one bad instruction and it creates or modifies resources in Junto Memory by the hundred, each call as confident as the last.

Questions about memory_sync_push

What does the memory_sync_push tool do? +

memory_sync_push. It is categorised as a Write tool in the Junto Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_sync_push? +

Register the Junto Memory MCP server in PolicyLayer and add a rule for memory_sync_push: 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 Junto Memory. Nothing to install.

What risk level is memory_sync_push? +

memory_sync_push is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit memory_sync_push? +

Yes. Add a rate_limit block to the memory_sync_push 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.

How do I block memory_sync_push completely? +

Set action: deny in the PolicyLayer policy for memory_sync_push. 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.

What MCP server provides memory_sync_push? +

memory_sync_push is provided by the Junto Memory MCP server (tlemmons/junto-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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