crow_jellyfin_collections

THE RISK

Low Risk

Why crow_jellyfin_collections needs a policy

This tool performs a data retrieval/query operation against a Jellyfin media server to enumerate available libraries and collections. It has no capability to modify, delete, or execute actions; it only reads and returns existing structural information. The blast radius of misuse is minimal—an attacker gains visibility into what media libraries exist but cannot access content, modify metadata, or trigger playback.

From the tool's definition Tool name and description indicate 'List all Jellyfin libraries and virtual folders' — a read-only operation that retrieves information without modification or side effects.

Documented attack patterns abuse exactly the kind of access crow_jellyfin_collections gives an agent:

POLICY

How to control crow_jellyfin_collections

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_jellyfin_collections:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_jellyfin_collections": {}
  }
}

crow_jellyfin_collections is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about crow_jellyfin_collections

What does the crow_jellyfin_collections tool do? +

List all Jellyfin libraries and virtual folders (Movies, TV Shows, Music, etc.). It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on crow_jellyfin_collections? +

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

What risk level is crow_jellyfin_collections? +

crow_jellyfin_collections is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit crow_jellyfin_collections? +

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

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

crow_jellyfin_collections is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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