IntegrityPulse FinOps

IntegrityPulse FinOps

A remote MCP server that provides AI coding agents with accurate, real-time cloud deployment cost forecasts across AWS, GCP, and Azure, preventing pricing hallucinations.

Category
访问服务器

README

IntegrityPulse FinOps

Stop your AI agents from hallucinating cloud costs. Get real pricing forecasts inside the conversation.

MCP Server Cloudflare Workers License: MIT


What is this?

IntegrityPulse FinOps is a remote MCP server that gives AI coding agents accurate, real-time cloud deployment cost forecasts. Instead of your agent guessing that "an EC2 instance costs around $50/month," it calls a tool backed by a verified pricing matrix and returns a line-item breakdown.

One tool. Three providers. Zero hallucinations.

User: "What would it cost to run our API on AWS with an m5.large, a managed Postgres, and Redis?"

Agent (via IntegrityPulse FinOps):
  | Service                    | Category | Hours | Est. Cost |
  |----------------------------|----------|-------|-----------|
  | m5.large                   | Compute  | 730   | $70.08    |
  | rds.postgres.db.m5.large   | Database | 730   | $204.40   |
  | elasticache.redis.t3.micro | Cache    | 730   | $11.68    |

  Total Estimated Monthly Cost: $286.16

Quick Start

Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "integritypulse": {
      "type": "streamable-http",
      "url": "https://integritypulse.marywomack.workers.dev/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY"
      }
    }
  }
}

Cursor

Add to your .cursor/mcp.json:

{
  "mcpServers": {
    "integritypulse": {
      "type": "streamable-http",
      "url": "https://integritypulse.marywomack.workers.dev/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY"
      }
    }
  }
}

cURL

curl -X POST https://integritypulse.marywomack.workers.dev/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "forecast_deployment_cost",
      "arguments": {
        "provider": "AWS",
        "services_to_add": [
          {"service_name": "m5.large", "estimated_usage_hours": 730}
        ]
      }
    }
  }'

The Tool: forecast_deployment_cost

Parameter Type Description
provider "AWS" | "GCP" | "AZURE" Cloud provider to price against
services_to_add Array<{ service_name, estimated_usage_hours }> Services to include in the forecast

Supported services:

AWS GCP Azure
t3.micro, t3.medium, m5.large e2-micro, e2-medium, n2-standard-2 B1s, B2s, D2s_v3
rds.postgres.db.t3.micro, rds.postgres.db.m5.large cloudsql.postgres.db-custom-1-3840, cloudsql.postgres.db-custom-4-15360 postgresql.flexible.b1ms
elasticache.redis.t3.micro memorystore.redis.1gb
s3.standard.1tb

Why It Exists: FinOps for the Agentic Era

AI agents are moving from "write me code" to "deploy this for me." When an agent provisions infrastructure, cost accuracy isn't a nice-to-have -- it's a financial control.

The problem: LLMs hallucinate pricing. They confidently tell you an RDS instance costs "$15/month" when the real number is $204. When agents start executing deployments autonomously, these hallucinations become real invoices.

The solution: IntegrityPulse FinOps is a grounded pricing oracle that agents call as a tool. The pricing matrix is maintained, versioned, and deterministic. No generation, no guessing.

Agentic Commerce & the Revenue Gate

This server is also a reference implementation of Revenue-Gated MCP -- a pattern for monetizing MCP tools without breaking the agent experience.

Here's how it works:

  1. Every request carries an x-api-key header.
  2. The server checks the user's tier and monthly_usage_count in Supabase.
  3. Free tier users get 25 operations/month.
  4. When the limit is hit, the server does NOT return an HTTP error. Instead, it returns a valid MCP tool result with isError: true:
{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "content": [{
      "type": "text",
      "text": "IntegrityPulse FinOps Alert: Your free monthly tier (25/25 operations) has been exhausted. To generate this architectural cost forecast, please upgrade to the Pro tier here: https://billing.openclaw.com/upgrade. Once upgraded, ask me to retry."
    }],
    "isError": true
  }
}

Why isError: true instead of HTTP 402/429?

Because the consumer is an LLM, not a browser. An HTTP error gets swallowed by the MCP transport layer and the user never sees it. By returning a tool result with isError: true, the upgrade CTA lands directly in the conversation where the user is already engaged. The agent reads it, surfaces it, and the user can act on it immediately. This is commerce at the point of intent.

Stripe Integration

When a user upgrades via the billing link, Stripe fires a checkout.session.completed webhook to /api/webhook/stripe. The server automatically:

  • Updates their tier from FREE to PRO
  • Resets their usage counter to 0
  • The next agent request goes through seamlessly

Architecture

                         +-----------------+
  Claude / Cursor        |  Cloudflare     |       +------------+
  (MCP Client)  -------->|  Worker (Hono)  |------>|  Supabase  |
                POST     |                 |       |  (users)   |
                /mcp     |  Revenue Gate   |       +------------+
                         |  MCP Server     |
                         |  Stripe Webhook |------>  Stripe API
                         +-----------------+
  • Runtime: Cloudflare Workers (edge, ~0ms cold start)
  • Framework: Hono (lightweight, Workers-native)
  • MCP SDK: @modelcontextprotocol/sdk with Streamable HTTP transport
  • Auth: API key in x-api-key or Authorization: Bearer header
  • Database: Supabase (PostgreSQL)
  • Payments: Stripe Checkout + Webhooks

Self-Hosting

git clone https://github.com/maryadawson-code/integritypulse.git
cd integritypulse
npm install

# Configure secrets
cp .env.example .env
# Edit .env with your Supabase and Stripe credentials

# Local development
npx wrangler dev

# Deploy to Cloudflare Workers
npx wrangler secret put SUPABASE_URL
npx wrangler secret put SUPABASE_SERVICE_KEY
npx wrangler secret put STRIPE_SECRET_KEY
npx wrangler secret put STRIPE_WEBHOOK_SECRET
npx wrangler deploy

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选