Memorize a text for later retrieval based on relevance in meaning, not just keywords.
AI agents use memorize_text to create or update resources in Mcp Rag Local — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Rag Local environment.
This tool creates and persists new data (text embeddings) in a vector store. It is a write operation with no indication of deletion or irreversibility beyond normal data storage. Misuse could result in polluting the knowledge base with false or harmful information, giving it a medium severity.
From the tool's definition 'Memorize a text for later retrieval' — the tool stores/writes a text passage into the vector database (ChromaDB) for future retrieval.
Documented attack patterns abuse exactly the kind of access memorize_text gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Rag Local, and nothing reaches the server without passing your rules. This is the rule we recommend for memorize_text:
{
"version": "1",
"default": "deny",
"tools": {
"memorize_text": {
"limits": [
{
"counter": "memorize_text_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}memorize_text 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.
Free to start. No card required.
Memorize a text for later retrieval based on relevance in meaning, not just keywords. It is categorised as a Write tool in the Mcp Rag Local MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Rag Local MCP server in PolicyLayer and add a rule for memorize_text: 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 Rag Local. Nothing to install.
memorize_text 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 memorize_text 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 memorize_text. 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.
memorize_text is provided by the Mcp Rag Local MCP server (renl/mcp-rag-local). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Rag Local, 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.
5 Mcp Rag Local tools catalogued and risk-classified — across an index of 43,000+ MCP servers.