Get the full utility classes for a semantic class name. Returns the CSS classes you should use in your HTML. Supports SSR-safe filtering.
AI agents call get_class to retrieve information from Classmcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves CSS class mappings based on semantic names—a pure lookup operation that queries configuration data and returns results. It does not modify, execute, delete, or create any data. The SSR-safe filtering capability confirms it is a read-only transformation of existing data. No unintended side effects would result from misuse other than potentially retrieving incorrect styling information.
From the tool's definition Tool name 'get_class' and description 'Get the full utility classes for a semantic class name. Returns the CSS classes you should use in your HTML.' indicates data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_class gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Classmcp, and nothing reaches the server without passing your rules. This is the rule we recommend for get_class:
{
"version": "1",
"default": "deny",
"tools": {
"get_class": {}
}
}get_class is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the full utility classes for a semantic class name. Returns the CSS classes you should use in your HTML. Supports SSR-safe filtering. It is categorised as a Read tool in the Classmcp MCP Server, which means it retrieves data without modifying state.
Register the Class MCP server in PolicyLayer and add a rule for get_class: 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 Classmcp. Nothing to install.
get_class is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_class 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 get_class. 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.
get_class is provided by the Class MCP server (thedecipherist/classmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Classmcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Classmcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.