Get cost analysis and projections for a storage gateway.
AI agents call get_cost_analysis 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 analyzes cost information for reporting purposes. It performs no financial transactions, does not create or modify resources, and produces no irreversible changes. While it involves financial data (cost analysis/projections), the tool itself does not move money, commit financial obligations, or execute transactions—it only reads and analyzes existing cost data.
From the tool's definition Tool name 'get_cost_analysis' and description 'Get cost analysis and projections' indicate retrieval and analysis of existing cost data with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access get_cost_analysis 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_cost_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"get_cost_analysis": {}
}
} get_cost_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get cost analysis and projections for a storage gateway. 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_cost_analysis: 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_cost_analysis 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_cost_analysis 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_cost_analysis. 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_cost_analysis 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.
Free to start. No card required.
284 Vultr MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.