crow_jellyfin_control

THE RISK

High Risk

Why crow_jellyfin_control needs a policy

This tool triggers external operations on a remote Jellyfin media server — controlling playback state (play/pause/stop/seek/skip/volume). These are side-effecting actions that interact with an external system rather than simply reading data or irreversibly destroying it. It falls squarely in Execute as it performs real-time remote control operations whose effects depend on arguments passed.

From the tool's definition Remote control a Jellyfin playback session: play/pause, stop, seek, skip, volume

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

POLICY

How to control crow_jellyfin_control

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_control:

policy.json

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

crow_jellyfin_control 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.

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.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

High-risk tools in Crow → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about crow_jellyfin_control

What does the crow_jellyfin_control tool do? +

Remote control a Jellyfin playback session: play/pause, stop, seek, skip, volume. It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on crow_jellyfin_control? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_jellyfin_control: 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_control? +

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

Can I rate-limit crow_jellyfin_control? +

Yes. Add a rate_limit block to the crow_jellyfin_control 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_control completely? +

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

crow_jellyfin_control 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.

CHECK YOUR STACK →