get-ssh-tunnel-command-serverless-cache

THE RISK

Low Risk

Why get-ssh-tunnel-command-serverless-cache needs a policy

The tool name starts with 'get', suggesting it retrieves information (an SSH tunnel command) rather than executing it. However, the description is empty, lowering confidence. The tool appears to return a command string for an SSH tunnel to a serverless cache, which is a read operation.

From the tool's definition Tool name 'get-ssh-tunnel-command-serverless-cache' suggests retrieving a command string; 'get' prefix implies read operation

Documented attack patterns abuse exactly the kind of access get-ssh-tunnel-command-serverless-cache gives an agent:

POLICY

How to control get-ssh-tunnel-command-serverless-cache

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get-ssh-tunnel-command-serverless-cache:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get-ssh-tunnel-command-serverless-cache": {}
  }
}

get-ssh-tunnel-command-serverless-cache 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 Amazon Redshift MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
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 →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about get-ssh-tunnel-command-serverless-cache

What does the get-ssh-tunnel-command-serverless-cache tool do? +

get-ssh-tunnel-command-serverless-cache. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get-ssh-tunnel-command-serverless-cache? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for get-ssh-tunnel-command-serverless-cache: 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 Amazon Redshift MCP Server. Nothing to install.

What risk level is get-ssh-tunnel-command-serverless-cache? +

get-ssh-tunnel-command-serverless-cache is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get-ssh-tunnel-command-serverless-cache? +

Yes. Add a rate_limit block to the get-ssh-tunnel-command-serverless-cache 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 get-ssh-tunnel-command-serverless-cache completely? +

Set action: deny in the PolicyLayer policy for get-ssh-tunnel-command-serverless-cache. 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 get-ssh-tunnel-command-serverless-cache? +

get-ssh-tunnel-command-serverless-cache is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Redshift MCP Server tool call.

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

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