Remote MCP server that returns verified cloud pricing for AWS, GCP, and Azure via a single tool: forecast_deployment_cost. You give it a provider and a list of services with estimated hours, it returns a line-item cost breakdown pulled from a maintained pricing matrix. Built on Cloudflare Workers with Streamable HTTP transport. Includes a revenue gate implementation that surfaces upgrade CTAs directly in the agent conversation when free tier limits hit, instead of throwing HTTP errors the LLM would never see. Useful when you're building agents that provision infrastructure or need to quote deployment costs without hallucinating numbers. Stripe webhook handles tier upgrades automatically.
Stop your AI agents from hallucinating cloud costs. Get real pricing forecasts inside the conversation.
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
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"
}
}
}
}
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 -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}
]
}
}
}'
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 |
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.
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:
x-api-key header.tier and monthly_usage_count in Supabase.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.
When a user upgrades via the billing link, Stripe fires a checkout.session.completed webhook to /api/webhook/stripe. The server automatically:
FREE to PRO +-----------------+
Claude / Cursor | Cloudflare | +------------+
(MCP Client) -------->| Worker (Hono) |------>| Supabase |
POST | | | (users) |
/mcp | Revenue Gate | +------------+
| MCP Server |
| Stripe Webhook |------> Stripe API
+-----------------+
@modelcontextprotocol/sdk with Streamable HTTP transportx-api-key or Authorization: Bearer headergit 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
MIT
silenceper/mcp-k8s
azure/containerization-assist
io.github.evozim/aws-builder
reza-gholizade/k8s-mcp-server
flux159/mcp-server-kubernetes