Memorize multiple texts for later retrieval based on relevance in meaning, not just keywords.
AI agents use memorize_multiple_texts 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 writes/stores multiple text passages into the vector store. It creates new data entries that can be retrieved later. While reversible in principle (entries could be deleted), the primary action is data creation/storage, making it a Write operation. Misuse could lead to storing large amounts of unwanted or malicious content in the knowledge base, hence medium severity.
From the tool's definition 'Memorize multiple texts for later retrieval' — stores data into the vector database (ChromaDB)
Documented attack patterns abuse exactly the kind of access memorize_multiple_texts 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_multiple_texts:
{
"version": "1",
"default": "deny",
"tools": {
"memorize_multiple_texts": {
"limits": [
{
"counter": "memorize_multiple_texts_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}memorize_multiple_texts 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 multiple texts 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_multiple_texts: 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_multiple_texts 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_multiple_texts 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_multiple_texts. 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_multiple_texts 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.