IntegrityPulse FinOps
Let your agent forecast and compare AWS, GCP, and Azure costs with IntegrityPulse before you commit to an architecture or pricing model.
Overview
io.github.maryadawson-code/integritypulse is a MCP server for the Validate phase that delivers verified AWS, GCP, and Azure cost forecasting for AI agents via IntegrityPulse FinOps.
What is this MCP server?
- Verified cloud cost forecasting for AI agents across AWS, GCP, and Azure pricing matrix
- Remote streamable-http MCP at https://integritypulse.marywomack.workers.dev/mcp
- Requires x-api-key header; free tier documented as 25 ops/month at integritypulse.marywomack.workers.dev
- IntegrityPulse FinOps title; server version 1.1.0 on GitHub maryadawson-code/integritypulse
- Server version 1.1.0; remote MCP on integritypulse.marywomack.workers.dev
- Documented free tier: 25 operations per month (registry description)
- Coverage: AWS, GCP, Azure verified pricing matrix for forecasting
What problem does it solve?
Indie builders pick cloud stacks and price points without a trustworthy, agent-accessible view of what AWS, GCP, and Azure will actually cost at their projected scale.
Who is it for?
Solo SaaS and AI product founders comparing hyperscaler options and modeling burn during validation and early architecture decisions.
Skip if: Teams that need live billing anomaly detection, reserved-instance portfolio optimization, or on-prem cost accounting without cloud matrix data.
What do I get? / Deliverables
Your agent returns matrix-backed cloud cost forecasts so you can validate pricing and architecture choices before you build and deploy.
- Agent-generated cloud cost forecasts using AWS, GCP, and Azure pricing matrix data
- Clearer unit-economics inputs for pricing page and architecture go/no-go decisions
Recommended MCP Servers
Journey fit
Validate is where solo builders stress-test unit economics and infra choices before a full build-out; FinOps forecasting prevents shipping on fantasy margins. Pricing is the shelf for cloud cost matrices and forecasts that inform what you can charge and which stack you can afford at early scale.
How it compares
Remote FinOps forecasting MCP with API key quota, not an IaC provisioner or runtime cost dashboard inside your VPC.
Common Questions / FAQ
Who is io.github.maryadawson-code/integritypulse for?
Solo builders and small teams using AI agents who need credible multi-cloud cost estimates from IntegrityPulse before committing to stack and pricing decisions.
When should I use io.github.maryadawson-code/integritypulse?
Use it during Validate/pricing when you are scoping MVP infra, comparing AWS vs GCP vs Azure, or sanity-checking margins against projected cloud spend.
How do I add io.github.maryadawson-code/integritypulse to my agent?
Add the remote MCP URL https://integritypulse.marywomack.workers.dev/mcp with streamable-http transport, set the required x-api-key header from your IntegrityPulse account (free tier: 25 ops/month per registry text), then restart your MCP client.