#aws

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Anchor AI FinOps to real, live cloud pricing. Multi-cloud MCP server for AWS, GCP & Azure — public list prices and enterprise negotiated rates (Reserved Instances, Savings Plans, CUDs, EDPs). No credentials needed to get started. Configuration keys optional for private contract pricing - see README https://github.com/x7even/cloudcostsmcp

AI-powered knowledge base for your Terraform modules. Index, search, compose, and audit - all from one place.

Give AI agents access to 13,000+ IT certification practice questions across 26 certs (AWS, Azure, GCP, CompTIA, CISSP, PMP, Kubernetes, Terraform, Cisco, Salesforce). Pay-per-call via x402 USDC micropayments on Base, or a prepaid API key. Tools: get_cert_questions, list_certifications.

Find AWS cost savings with your AI agent. CloudFix's MCP server connects AI tools like Claude, Cursor, and ChatGPT to your analyzed AWS spend surfacing personalized EC2, RDS, EBS, and Lambda optimization opportunities in natural language. 5 read-only tools: list recommendations, get details, validate resources, generate reports, and view savings summaries. Just add your CloudFix API key. No infrastructure changes, no agents running in your account

Create AWS cost estimates programmatically. Supports all 436 services, Savings Plans, Reserved Instances. Returns shareable calculator.aws links with actual AWS-calculated costs. No credentials required.

Curated by Archimedes Market. AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service, account, or tag. Pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. → archimedes.market/assets/d63f367d-79e5-488c-9e60-b7ba89fd3f91

Gives AI coding assistants deterministic infrastructure awareness. Statically analyzes your codebase, AWS services, and database schemas — exposes DynamoDB tables, indexes, query patterns, and service relationships via MCP so Claude Code knows your actual infrastructure instead of guessing.

B2AI infrastructure API for autonomous agents. Normalizes AWS, Azure, and GCP into a unified schema. Returns execution kits (Terraform + CLI), cost estimates, and cross-provider recommendations. Built for AI agents that need to discover, evaluate, and deploy cloud infrastructure programmatically.

Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE directly from Claude.

Conversational AI agent that designs AWS/GCP architecture, generates Terraform, estimates costs, and deploys — all through MCP.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

CloudForge MCP lets Claude visualise your cloud architecture diagrams, generate production-ready Terraform HCL from natural language, import existing IaC, and manage Azure, AWS, and GCP resources — all from chat. Authenticate with a CloudForge API key (cf_live_...) generated from cloudforge.cloud/account. No browser token copying required. Tools included: • cloudforge_diagram_to_mermaid — render any saved diagram inline in Claude • cloudforge_architecture_summary — resource counts, central components, inline diagram • cloudforge_generate_terraform — generate .tf files from a description • cloudforge_export_terraform_from_diagram — export Terraform from a saved diagram • cloudforge_import_terraform — parse existing HCL → diagram + Mermaid preview • cloudforge_chat — ask the AI Architect for cost, security, and best practice advice • cloudforge_suggest_resources — get AI-recommended resources for a use case • cloudforge_list_diagrams / get / save / delete / recent — full diagram management • cloudforge_list_members / invite / remove — organisation management

Track and optimize AI API spending across 16 providers. Real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more. Tools: list_providers, connect_account, get_financial_overview, query_spending, get_recommendations, detect_anomalies, get_setup_status, upload_bank_csv

Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.

What Staticbot does Staticbot is a managed operations platform for complex, long-running deployment workflows. It hosts static websites and web apps inside your own AWS account using S3 and CloudFront — no vendor lock-in, no PaaS markup, full ownership of the infrastructure. Core workflows: Deploy to AWS — Static websites and web apps to S3 + CloudFront CDN, with custom domains and automatic SSL via ACM Supabase migration — Orchestrates moving a full Supabase project (database, edge functions, storage, auth) to your own AWS infrastructure Multi-stage deployments — Dev, preview, and production stages per website with independent lifecycle management Staticbot owns the things agents handle poorly: state that persists across sessions, credentials that should never appear in a context window, approval gates before destructive operations, and accumulated operational knowledge from real-world failure modes.

Kraiter is an email automation platform with an MCP server published on npm (@kraiter/mcp-server, v0.3.4). It exposes 62 tools for managing contacts, drip campaigns, transactional sends, segments, templates, domains, and metrics — all via natural language.

Structured failure knowledge for AI agents — 1,000+ errors across 20 domains. Dead ends, workarounds, error chains, and freshness tracking.

36 enterprise-grade MCP tools for AWS infrastructure, security compliance, AI workflows, agent governance, and operational resilience. Includes IAM policy validation with security scoring, MFA compliance auditing, CloudFormation/SAM template generation, DynamoDB single-table design, OAuth configuration validation, vector embedding generation via Amazon Bedrock, error pattern analysis, data lake readiness assessment, risk classification, task routing, 12 ACI governance tools for AI agent safety (decision classification, financial gates, compliance checks, blast radius estimation, rollback generation), and 4 local stakeholder interview tools that require no API key.

The Defang Model Context Protocol (MCP)⁠ Server is tailored for developers who work primarily within integrated development environments (IDEs). It enables seamless cloud deployment from supported editors such as Cursor, Windsurf, VS Code, VS Code Insiders, and Claude, delivering a fully integrated experience without leaving your development environment.

This MCP server provides tools for retrieving and filtering AWS blog articles and news from all AWS categories. The server is built using the FastMCP framework and supports SSE transport on port 8807.

A Model Context Protocol (MCP) server for Amazon Nova Reel 1.1 video generation using AWS Bedrock. This server provides tools for asynchronous video generation with comprehensive prompting guidelines and both stdio and SSE transport support.

Leverages your Schemas and Access Patterns to interact with your DynamoDB Database using natural language.

Conversational cloud security compliance auditing. MCP server enabling natural language queries about AWS security posture via Claude and other AI assistants.

AWS API/lambda hosting MCP client server that queries bedrock LLM using MCP hosted tools

hackathon-aws-mcp-2025 project, a generic form filler utilzing MCP servers and Claude.

A Model Context Protocol (MCP) server that enables natural language interactions with AWS storage services through Amazon Q CLI.

AWS MCP Servers — specialized MCP servers that bring AWS best practices directly to your development workflow

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

mcp-streamable-http-server provides a comprehensive development template for building StreamableHttp services with flexible authentication, dynamic service registration, customizable middleware, and easy tool configuration via YAML.

A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers. Project NOVA routes requests to domain-specific experts, enabling control of applications from knowledge bases to DAWs, home automation to development tools. Includes system prompts, Dockerfiles, and workflows for a complete AI assistant ecosystem.

AWS MCP Server Configurations for different operating systems

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AWS Athena MCP Server

Human Assistance for AI Assistants

An MCP server which connects with Amazon Verified Permissions.

MCP Server implementation with AWS Serverless services.

AWS Trusted Advisor MCP Server - 低利用率EC2インスタンスの停止やEBSスナップショットの作成など、AWS環境の最適化を提案するツール

The AWS EC2 Pricing MCP Server lets any LLM or automation script query real-time EC2 pricing with one call. Powered by a pre-parsed AWS pricing catalogue, it answers questions such as What is the cheapest EC2 instance with 32GB RAM? Which AMD instances have more than 3.5 Ghz CPUs? What is the 3-yr All Upfront discount on r6g family in eu-west-1? What is the cheapest instance to run Windows with SQL Server Enterprise?

A remote MCP Server for Snowflake. Deployed as a AWS Lambda Function

Nova Act MCP Server on ECS Fargate

This repository provides an implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language Models (LLMs), to securely interact with S3 buckets. The server offers a standardized interface to list S3 buckets, list objects within buckets, and download file contents.

A Model Context Protocol server that connects AI assistants like Claude to AWS security services, allowing them to autonomously query, inspect, and analyze AWS infrastructure for security issues and misconfigurations.

Build and deploy Remote Model Context Protocol (MCP) servers to AWS EC2

ARC Model Context Protocol (MCP) Server: AI-Powered Development using the ARC framework.

Spring ai, mcp server, aws bedrock, pg vectore store. mcp using sync SSE transport.

Creates a simple MCP tool server with "streaming" HTTP.

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.

Fully Loaded AWS S3 Model Context Protocol Server (MCP)

This MCP server provides tools to access AWS Amplify Gen 2 documentation and search for content. (not official)

🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.

AI-powered cloud development with AWS MCP Servers

Lambda Ruby App Demoing MCP Servers

🚀 OpenClient- The CLI-Based Universal AI Application Connector! An open-source Model Context Protocol (MCP) implementation that turbocharges LLMs by context provisioning standardization. Quickly connect a server of your choice with our client to boost your AI capabilities. Ideal for developers creating next-generation AI applications!

MCP Server for tracking logs with AWS CloudWatch

Deployable MCP Servers for common AWS services (Location, S3, Aurora PG Data API) using AWS CDK.

AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

A Serverless MCP implementation using SST, React and AWS.

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A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

MCP Server implementation for promptz.dev

This is a Model Context Protocol (MCP) server that integrates with AWS CodePipeline, allowing you to manage your pipelines through Windsurf and Cascade. The server provides a standardized interface for interacting with AWS CodePipeline services.

MCP server to integrate AWS S3 and LLM

Open-source MCP (Mission Control Panel) server for AWS - A powerful, region-independent backend service for AWS operations

This creates an MCP server enabling Claude to run security scans on Terraform code, create architecture diagrams of your AWS cloud architectures and execute terraform commands to deploy or modify resources

Model Context Protocol Server that allows AI models to interact with JigsawStack models!

Generate images from text using advanced AI models. Learn more about jigsawstack's image generation API here: https://jigsawstack.com/docs/api-reference/ai/image-generation You can get your jigsawstack API key here: https://jigsawstack.com/dashboard/

This repository contains a ready-to-use Model Context Protocol (MCP) server that supercharges your development workflow. As a new developer, I created this tool to consolidate documentation and streamline my development process—now I'm sharing it with you.

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

Model Context Protocol server for managing Amazon DynamoDB resources

It is MCP server for access Postges DB on AWS RDS

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A Python-based MCP server that lets Claude run boto3 code to query and manage AWS resources. Execute powerful AWS operations directly through Claude with proper sandboxing and containerization. No need for complex setups - just pass your AWS credentials and start interacting with all AWS services.

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Talk with your AWS using Claude. Model Context Protocol (MCP) server for AWS. Better Amazon Q alternative.

A Model Context Protocol server implementation for operations on AWS resources

Perform operations on your AWS resources using an LLM