redis-command

THE RISK

High Risk

Why redis-command needs a policy

This tool runs arbitrary Redis commands through redis-cli. Depending on the command issued, it can read data, write/modify data, delete keys (DEL, FLUSHDB, FLUSHALL), or perform other destructive operations.

From the tool's definition 'Executes a Redis command via redis-cli and returns the response'

Documented attack patterns abuse exactly the kind of access redis-command gives an agent:

POLICY

How to control redis-command

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "redis-command": {
      "limits": [
        {
          "counter": "redis-command_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

redis-command 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 Make — 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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All 202 Make tools →

Execute tools on other servers

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Make → 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 →
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 redis-command

What does the redis-command tool do? +

Executes a Redis command via redis-cli and returns the response. It is categorised as a Execute tool in the Make MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on redis-command? +

Register the Make MCP server in PolicyLayer and add a rule for redis-command: 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 Make. Nothing to install.

What risk level is redis-command? +

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

Can I rate-limit redis-command? +

Yes. Add a rate_limit block to the redis-command 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 redis-command completely? +

Set action: deny in the PolicyLayer policy for redis-command. 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 redis-command? +

redis-command is provided by the Make MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Make tool call.

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

CHECK YOUR STACK →