Skip to main content
Glama

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

Related MCP server: AWS FinOps MCP Server

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.

F
license - not found
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    Enables AI assistants to analyze cloud billing data in FOCUS format through natural language queries. Provides 36+ predefined cost analysis queries, custom SQL execution, and schema documentation for multi-cloud cost optimization and FinOps practices.
    Last updated
    11
    Apache 2.0
  • A
    license
    B
    quality
    D
    maintenance
    Provides a comprehensive suite of 76 tools for AWS cloud resource optimization, cost management, and infrastructure monitoring. It enables users to identify unused resources, analyze cost trends, right-size capacity, and maintain security compliance through natural language.
    Last updated
    76
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables natural language analysis of AWS costs, automated FinOps waste audits, and budget monitoring across multiple profiles and regions while keeping credentials secure locally.
    Last updated
    179
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to discover, evaluate, and provision cloud infrastructure across AWS, GCP, and Azure with cross-cloud normalization, cost comparisons, and deployable execution kits.
    Last updated
    5
    2
    MIT

View all related MCP servers

Related MCP Connectors

  • Threat modeling, code/cloud/pipeline scanning, shadow-AI discovery, compliance checks and fixes.

  • Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.

  • Let AI operate servers without SSH. Choose actions, approve risky changes, and audit every step.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ketankshukla/spendguard-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server