crow_jellyfin_play

THE RISK

Low Risk

Why crow_jellyfin_play needs a policy

This tool retrieves a stream URL without creating, modifying, deleting, or executing operations on the Jellyfin system. It is purely informational—returning a URL for accessing media content. The blast radius of misuse is minimal: an agent could potentially share a stream URL with unauthorized parties, but this is a read-only disclosure risk rather than a write, execute, destructive, or financial risk.

From the tool's definition Tool description states 'Get a direct stream URL for a Jellyfin item. Use for playback or sharing.' The verb 'get' and the stated purposes of retrieval for playback or sharing indicate data retrieval with no modification or deletion of underlying data.

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

POLICY

How to control crow_jellyfin_play

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_play:

policy.json

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

crow_jellyfin_play 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 →

Free to start. No card required.

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 →
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FAQ

Questions about crow_jellyfin_play

What does the crow_jellyfin_play tool do? +

Get a direct stream URL for a Jellyfin item. Use for playback or sharing. 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_play? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_jellyfin_play: 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_play? +

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

Can I rate-limit crow_jellyfin_play? +

Yes. Add a rate_limit block to the crow_jellyfin_play 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_play completely? +

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

crow_jellyfin_play 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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