Passive Cost Memory for Agent Development

Name: Passive Cost Memory for Agent Development
Author: RaleighSF

@RaleighSF

Passive Cost Memory for Agent Development について

Burnwatch detects every paid service in your project, tracks spend across 14 AI-native tools (Anthropic, OpenAI, Vercel, Supabase, Stripe, Scrapfly, Browserbase, and more), and exposes real-time cost data via MCP tools — so any LLM can factor budget into its recommendations. Four

#cost-tracking #spend #billing #finops #budget #saas #developer-tools #agent-development #anthropic #openai #vercel #claude-code

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

RaleighSF

投稿者

Raleigh Murch

設定

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": {
    "burnwatch": {
      "command": "node",
      "args": [
        "node_modules/burnwatch/dist/mcp-server.js"
      ]
    }
  }
}

ツール

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概要

What is Passive Cost Memory for Agent Development?

Passive Cost Memory for Agent Development (burnwatch) is a cost monitoring tool for agent projects that provides spend overviews, service deep dives, and paid-service scans across 14 supported services like Anthropic, OpenAI, and AWS.

How to use Passive Cost Memory for Agent Development?

Install via npm install burnwatch, then add a configuration entry to your MCP client with the command node and args ["node_modules/burnwatch/dist/mcp-server.js"].

Key features of Passive Cost Memory for Agent Development

Full project spend overview with budget alerts
Deep dive on any service with gotchas and alternatives
Scan a project for all paid services
Browse a registry of 14 supported services
Confidence badges (LIVE, CALC, EST, BLIND) indicate data quality

Use cases of Passive Cost Memory for Agent Development

Monitor total project spending and catch budget overruns early
Analyze cost breakdown for individual services to optimize spending
Discover all paid services used across a project
Get alternatives and gotchas for each supported service

FAQ from Passive Cost Memory for Agent Development

What services does it support?

Anthropic, OpenAI, Vercel, Supabase, Stripe, Scrapfly, Browserbase, Upstash, Resend, Inngest, PostHog, Google Gemini, Voyage AI, and AWS, with more coming.

How are spend figures categorized?

Each spend figure has a confidence badge: LIVE (real billing API data), CALC (fixed monthly cost, projected), EST (estimated from usage patterns), or BLIND (detected but not yet tracked).