Handles billing operations for AI agents with a focus on cost control and usage tracking. You'd reach for this when building autonomous agents that need to check budget constraints before executing operations and track actual usage costs afterward. The preflight spend checks let you gate expensive operations based on available budget, while the post-execution billing captures what was actually consumed. Useful if you're running multiple AI agents and need programmatic control over their spending, or if you're building a platform where agents operate under different billing constraints. Think of it as middleware between your agent logic and whatever resources it's consuming that cost money.
Public tool metadata for what this MCP can expose to an agent.
preflightCheck if an agent is allowed to run before starting work. Call this at the start of every agent invocation. Returns approved=True when the customer has remaining budget. Returns approved=False with a reason when the run should be blocked (budget_exhausted, ceiling_exceeded, fr...4 paramsCheck if an agent is allowed to run before starting work. Call this at the start of every agent invocation. Returns approved=True when the customer has remaining budget. Returns approved=False with a reason when the run should be blocked (budget_exhausted, ceiling_exceeded, fr...
ceilingvalueagent_idstringcustomer_idstringestimated_unitsintegerrecord_eventRecord a billable event after agent work is complete. Call this once per unit of work completed. Safe to call from retried or parallel workflows — duplicate submissions are ignored automatically. Args: agent_id: Identifier for this agent or task type. Appears in the dashboard....4 paramsRecord a billable event after agent work is complete. Call this once per unit of work completed. Safe to call from retried or parallel workflows — duplicate submissions are ignored automatically. Args: agent_id: Identifier for this agent or task type. Appears in the dashboard....
unitsintegeragent_idstringmetadatavaluecustomer_idstringsilenceper/mcp-k8s
azure/containerization-assist
io.github.evozim/aws-builder
reza-gholizade/k8s-mcp-server
flux159/mcp-server-kubernetes