How is AgentBill MCP different from monthly caps?
Monthly caps don't catch a bad single run. One 3-hour research loop can blow your budget before the cap triggers. AgentBill enforces a ceiling at the invocation level.
@marketinglior-pixel
基本情報
Preflight spend control for AI agents. Block runaway agent loops before they start - not after the bill arrives. Per-request cost ceilings, budget checks, and outcome-based metering in 2 MCP tool calls.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"agentbill": {
"command": "uvx",
"args": [
"agentbill-mcp"
],
"env": {
"AGENTBILL_API_KEY": "your-api-key"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
AgentBill MCP is a preflight gate for AI agent runs. It blocks runaway loops before they start by enforcing a budget ceiling at the invocation level.
Install the SDK with pip install agentbill-sdk. Configure the client with an API key, then call preflight() before an agent run and record_event() after to log usage. Two tool calls are required: one to check budget, one to record the cost.
preflight() then record_event()Monthly caps don't catch a bad single run. One 3-hour research loop can blow your budget before the cap triggers. AgentBill enforces a ceiling at the invocation level.
Call `preflight()` before the agent runs to check the budget. If approved, the agent runs. Then call `record_event()` to log usage for billing.
1,000 preflight calls per month are free. No credit card required.
Get your API key at https://agentbill.fly.dev/register.
Install with `pip install agentbill-sdk`.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

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