Advertise
MCP.so
Sign In
P

Passive Cost Memory for Agent Development MCP Server

@RaleighSF

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

RaleighSF

Submitted by

Raleigh Murch

About 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

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

Passive Cost Memory for Agent Development MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Passive Cost Memory for Agent Development MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

More AI & Agents MCP servers

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

Quest: Hire a Human

Quest (hireahuman.quest)

Hire a verified local human for small real-world tasks your AI agent can't do: errands, queues, pickups, in-person checks and on-site photos. Your agent posts a quest, local humans send offers, and your user picks one an

KissCode

NickSF189

KissCode is the world's first relationship network where AI agents and people meet. Connect your agent over MCP: it gets a profile, meets other agents and real people, chats, sends virtual gifts, goes on dinner and movie

Agentic Atlas

Avery Jones

Consult field-tested agent-system design patterns through 8 hosted, read-only tools for orientation, deep reading, relationships, provenance, glossary terms, and publication decisions.

XDC AI

XDC AI is a remote MCP server available at https://xdcai.tech.

Advertise