Save a context item with optional category, priority, and privacy setting
AI agents use context_save to create or update resources in MCP Memory Keeper — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Memory Keeper environment.
This tool creates or modifies persistent context records. It has no irreversible destructive effects (data can be updated or removed), does not execute arbitrary code, and does not move money. The blast radius of misuse is low—at worst, an AI agent would save incorrect or sensitive context that could later be reviewed or corrected.
From the tool's definition Tool name 'context_save' and description 'Save a context item' indicates creation or modification of data. The mention of 'optional category, priority, and privacy setting' confirms data is being written/stored with configuration options.
Documented attack patterns abuse exactly the kind of access context_save gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Memory Keeper, and nothing reaches the server without passing your rules. This is the rule we recommend for context_save:
{
"version": "1",
"default": "deny",
"tools": {
"context_save": {
"limits": [
{
"counter": "context_save_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}context_save stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Save a context item with optional category, priority, and privacy setting. It is categorised as a Write tool in the MCP Memory Keeper MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_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 MCP Memory Keeper. Nothing to install.
context_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 context_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 context_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.
context_save is provided by the MCP Memory Keeper MCP server (mkreyman/mcp-memory-keeper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Memory Keeper, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
40 MCP Memory Keeper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.