An agentic AI–powered IaC scanner that evaluates cloud infrastructure against security and compliance benchmarks. It also delivers cost analysis and AWS Well-Architected recommendations, with support for custom policies, checks, and configurable exceptions.

MCP server for AWS infrastructure analysis — DynamoDB, Lambda, SQS, SNS, S3, API Gateway, PostgreSQL, MySQL, MongoDB, Kafka & IaC drift. Works with Claude Code, Cursor, and GitHub Copilot.

ZeroPath plugin for AI code agents — bring AppSec scanning (SAST, secrets, SCA, IaC), finding triage, and security context into Claude Code from chat.

Know which security findings to fix first, across the scanners you already run. SAST, SCA, secrets, IaC and containers, every finding ranked by exposure, criticality, exploitability and, for Go, reachability.

AI-native unified cloud governance platform — multi-cloud discovery, 6R migration planning, IaC security, FinOps, compliance audit, and executive AI chat. Built on Claude Opus 4.7. EU AI Act Annex IV ready. Zero paid SaaS dependencies.

Audit codebases, URLs, running apps, containers, IaC and mobile builds for security, accessibility, performance, SEO and more. Agent-ready via MCP.

AWS infrastructure analysis for AI coding assistants — DynamoDB, Lambda, SQS, SNS, S3, PostgreSQL, MySQL, MongoDB, Kafka, EventBridge, API Gateway & IaC drift. 16 deterministic tools: exact schemas, trigger event shapes, DLQ coverage, missing indexes. Never reads secrets, never writes to AWS.

One scored audit of everything you ship: code, sites, apps, APIs, containers, IaC, cloud and mobile. CLI, CI and MCP for AI agents.

AI infrastructure cartographer and operations daemon — Graphify for live infrastructure. Fingerprints, graphs, and watches Docker/Kubernetes/AWS/IaC for AI agents via CLI + MCP.

AI infrastructure cartographer and operations daemon — Graphify for live infrastructure. Fingerprints, graphs, and watches Docker/Kubernetes/AWS/IaC for AI agents via CLI + MCP.

🏰 castellan — the keeper of your threat model. Offline, MCP-native threat modeling: STRIDE + LINDDUN, DREAD risk, attack trees & 625 compliance frameworks, from a spec or your IaC.

Firefly MCP Server

MCP-backed Terraform assistant with ephemeral-values compliance.

MCP server: generate, init, plan, apply, destroy Terraform configurations from any MCP client

Preview infrastructure cost and configuration changes before deploying

Open-Source AI Platform for DevOps, SRE, Cloud, and Platform Engineering

Transform any Kubernetes CRD into type-safe KCL schemas and developer-friendly blueprints with CLI and AI integration

Prompt → editable cloud architecture diagram → deployable Terraform. Reverse-ingests HCL. MCP server for Claude Desktop. Apache 2.0.

Infrastructure as Code for Discord servers: declarative YAML, plan/apply, permission auditing, and an MCP server for AI agents.

MCP server for Terraform infrastructure-as-code operations. Plan, apply, destroy, and inspect infrastructure state from AI assistants.

🤖 Remote MCP server on Azure Functions: Azure network tools for AI agents, extensible by dropping a file

Deploy self-hosted OpenClaw to AWS, GCP, Azure or a local VM — a CLI and an MCP server in one.

MCP server and skills for formae: connect Claude Code, Codex, OpenCode, Cursor or any MCP client and manage infrastructure through conversation.

Deploy Terraform, OpenTofu and Ansible with AI agents. MCP + ready-to-use skills to go from code to cloud in minutes.

MCP server giving AI coding agents (Claude Code, Cursor, Codex) a queryable source of engineering constraints — policy-as-code guardrails for AI-generated code, backed by OPA, Conftest, Checkov & Semgrep.

Terraform MCP server for what is true in THIS working directory: exact pinned provider schemas, saved plans, state (redacted), local modules and provider-upgrade impact

Ansible MCP server for what is true in THIS checkout: installed module specs, task-argument checks, role interfaces, inventory (redacted), play structure, config, collection drift and collection-upgrade impact

Deploy and operate self-hosted OpenClaw on AWS, GCP, Azure or your own VM, from the command line or from your agent. A CLI and an MCP server over one implementation, with reviewable deploy plans, day-two operations, hardening, and private Tailscale networking.

DevSecShield is a unified, AI-powered Devsecops assistant designed to provide comprehensive security analysis across multiple dimensions of modern software development. From traditional application security to cutting-edge AI/ML systems, DevSec Shield delivers automated vulnerability detection and actionable remediation guidance.