This record as markdown: /tools/io-github-devopam-mcpg/create-redis-cache-server.md
What create_redis_cache_server does on Mcpg
AI agents use create_redis_cache_server to create or update resources in Mcpg, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcpg environment.
Why create_redis_cache_server is rated Medium
The tool appears to create a new Redis cache server, which is a reversible Write operation (the server can be deleted or reconfigured). Without a description, confidence is moderately reduced. On a production PostgreSQL MCP server, creating a cache server modifies infrastructure state but does not execute arbitrary queries, delete data irreversibly, or move funds.
From the tool's definition Tool name 'create_redis_cache_server' suggests provisioning or instantiating a Redis cache service.
Attacks that exploit this kind of access
The rule that runs create_redis_cache_server safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_redis_cache_server, this is the rule to start with:
create_redis_cache_server 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 Mcpg, apply this rule, and every create_redis_cache_server call is checked against it from then on.
Questions about create_redis_cache_server
create_redis_cache_server is a write tool on the Mcpg MCP server. It is categorised as a Write tool in the Mcpg MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcpg MCP server in PolicyLayer and add a rule for create_redis_cache_server: 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 Mcpg. Nothing to install.
create_redis_cache_server 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_cache_server 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_cache_server. 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_cache_server is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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