Store a knowledge graph memory with entity creation
AI agents use store_knowledge_memory to create or update resources in ZMCPTools — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ZMCPTools environment.
This tool writes new data (knowledge graph memories and entities) into a persistent store. It creates/modifies data but does not execute code, delete data, or involve financial transactions. Misuse could pollute the knowledge graph with false or misleading information, affecting agent reasoning and coordination.
From the tool's definition Store a knowledge graph memory with entity creation
Documented attack patterns abuse exactly the kind of access store_knowledge_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ZMCPTools, and nothing reaches the server without passing your rules. This is the rule we recommend for store_knowledge_memory:
{
"version": "1",
"default": "deny",
"tools": {
"store_knowledge_memory": {
"limits": [
{
"counter": "store_knowledge_memory_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}store_knowledge_memory 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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Store a knowledge graph memory with entity creation. It is categorised as a Write tool in the ZMCPTools MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ZMCPTools MCP server in PolicyLayer and add a rule for store_knowledge_memory: 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 ZMCPTools. Nothing to install.
store_knowledge_memory 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 store_knowledge_memory 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 store_knowledge_memory. 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.
store_knowledge_memory is provided by the ZMCPTools MCP server (zachhandley/zmcptools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 70 ZMCPTools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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70 ZMCPTools tools catalogued and risk-classified — across an index of 42,500+ MCP servers.