This record as markdown: /tools/io-github-dave-london-docker/redis-ping.md
What redis-ping does on Docker
AI agents invoke redis-ping to trigger actions in Docker. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why redis-ping is rated High
This tool executes a PING command against a Redis server to test connectivity. While it only reads/checks connectivity and has no data modification side effects, it actively triggers an external operation (sending a command to a Redis server), placing it in the Execute category. The blast radius is low as PING is a benign, read-only connectivity test.
From the tool's definition Tests Redis connectivity by sending a PING command
Attacks that exploit this kind of access
The rule that runs redis-ping safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Docker, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For redis-ping, this is the rule to start with:
redis-ping 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Docker, apply this rule, and every redis-ping call is checked against it from then on.
Questions about redis-ping
Tests Redis connectivity by sending a PING command. It is categorised as a Execute tool in the Docker MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Docker MCP server in PolicyLayer and add a rule for redis-ping: 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 Docker. Nothing to install.
redis-ping is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the redis-ping 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.
Set action: deny in the PolicyLayer policy for redis-ping. 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.
redis-ping is provided by the Docker MCP server (@paretools/docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Docker, and thousands of servers like it.
Across the catalogue