This record as markdown: /tools/coolify/create-redis-database.md
What create_redis_database does on Coolify
AI agents use create_redis_database to create or update resources in Coolify, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Coolify environment.
Why create_redis_database is rated Medium
This tool creates a new Redis database instance, which is a reversible write operation that modifies the infrastructure state. While it adds a resource, it is not destructive (the database can be deleted later) and does not delete or overwrite existing data.
From the tool's definition Tool name 'create_redis_database' and description 'Create a Redis database' indicate a create operation that adds a new persistent resource to the infrastructure.
Attacks that exploit this kind of access
The rule that runs create_redis_database safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Coolify, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_redis_database, this is the rule to start with:
create_redis_database stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Coolify, apply this rule, and every create_redis_database call is checked against it from then on.
Questions about create_redis_database
Create a Redis database. It is categorised as a Write tool in the Coolify MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Coolify MCP server in PolicyLayer and add a rule for create_redis_database: 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 Coolify. Nothing to install.
create_redis_database is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_redis_database 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 create_redis_database. 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.
create_redis_database is provided by the Coolify MCP server (coolify-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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