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Passive Cost Memory for Agent Development MCP Server

@RaleighSF

基本信息

分类

AI 与智能体

传输方式

stdio

作者

RaleighSF

提交者

Raleigh Murch

关于 Passive Cost Memory for Agent Development MCP Server

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

Passive Cost Memory for Agent Development MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Passive Cost Memory for Agent Development MCP Server 工具

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当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

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).

3

How do I install it?

Run `npm install burnwatch` and add the MCP server configuration to your client as shown in the README.

4

What tools does it provide?

Four tools: `get_spend_brief`, `get_service_spend`, `detect_paid_services`, and `list_registry_services`.

5

How do I scan a project for paid services?

Use the `detect_paid_services` tool to scan a project and identify all paid services it uses.

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