Get information about a Kafka topic.
AI agents call get_kafka_topic to retrieve information from Vultr MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing Kafka topic metadata or configuration. It does not create, modify, delete, or execute operations on the topic or its data. It is a straightforward read operation with no destructive or state-changing capabilities. Low severity reflects minimal risk from misuse—an AI agent querying topic information cannot cause infrastructure damage or data loss.
From the tool's definition Tool name and description indicate retrieval of information: 'Get information about a Kafka topic' performs a query operation without side effects.
Documented attack patterns abuse exactly the kind of access get_kafka_topic gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vultr MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_kafka_topic:
{
"version": "1",
"default": "deny",
"tools": {
"get_kafka_topic": {}
}
}get_kafka_topic is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get information about a Kafka topic. It is categorised as a Read tool in the Vultr MCP MCP Server, which means it retrieves data without modifying state.
Register the Vultr MCP server in PolicyLayer and add a rule for get_kafka_topic: 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 Vultr MCP. Nothing to install.
get_kafka_topic 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_kafka_topic 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_kafka_topic. 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_kafka_topic is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Vultr MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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284 Vultr MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.