SpendGuard AI
Enables FinOps teams to investigate cloud-spend anomalies, draft and approve savings actions, and simulate execution safely without affecting real cloud accounts.
README
SpendGuard AI
A production-shaped MCP portfolio application. SpendGuard AI helps a FinOps team investigate cloud-spend anomalies, draft a savings action, obtain independent approval, execute it through a safe simulated provider, survive retries and restarts, and produce an authoritative receipt plus operational evidence.
The default provider is simulated and deterministic. This public portfolio never spends money, mutates a real cloud account, exposes customer data, or requires a real cloud credential.
Live
- GitHub: https://github.com/ketankshukla/spendguard-mcp
- Production: https://spendguard-mcp-web.vercel.app/
Monorepo Layout
apps/web Next.js App Router product (marketing + product UI, MCP transport, AI host)
services/risk-engine Independently deployable Python MCP server (proposal scoring, simulation)
packages/ domain, contracts, db, auth, policy, mcp-server, mcp-host, registry, config, ...
docs/ implementation-plan.md, worklog.md, ADRs, runbooks
Local Development
pnpm install
pnpm turbo lint typecheck test build
pnpm --filter web dev
Requires Node.js >= 20, pnpm (via Corepack or npm install -g pnpm), and — for the Python risk service —
Python 3.14 and uv.
Status
See docs/implementation-plan.md for phase-by-phase status and docs/worklog.md for a running log of
decisions, commands, and results.
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