memvid_enrich · Memvid MCP: Risk & Policy

WHAT IT DOES

What memvid_enrich does on Memvid

AI agents invoke memvid_enrich to trigger actions in Memvid. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why memvid_enrich needs a policy

This tool executes an NER enrichment process that modifies or annotates memory file content by extracting and storing entities. It is not a pure read (it enriches/writes back results), and it triggers external model computation. Most closely fits Execute as it runs a processing operation whose effects depend on file content and configuration.

From the tool's definition 'Run Named Entity Recognition (NER) enrichment to extract entities' and 'Process all frames' — actively runs a processing pipeline against memory file content

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memvid_enrich Rate-limited

memvid_enrich stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memvid_enrich": {
      "limits": [
        {
          "counter": "memvid_enrich_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Memvid, so you can run agents against it safely.

FAQ

Questions about memvid_enrich

What does the memvid_enrich tool do? +

Run Named Entity Recognition (NER) enrichment to extract entities. Extracts entities like people, organizations, locations, dates from content. Requires NER model configuration. Args: file: Path to the .mv2 memory file all: Process all frames that haven. It is categorised as a Execute tool in the Memvid MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on memvid_enrich? +

Register the Memvid MCP server in PolicyLayer and add a rule for memvid_enrich: 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 Memvid. Nothing to install.

What risk level is memvid_enrich? +

memvid_enrich is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit memvid_enrich? +

Yes. Add a rate_limit block to the memvid_enrich 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 memvid_enrich completely? +

Set action: deny in the PolicyLayer policy for memvid_enrich. 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 memvid_enrich? +

memvid_enrich is provided by the Memvid MCP server (tapiocapioca/memvid-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.