"Amazon Web Services (AWS) information and resources" matching MCP servers:

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables read-only querying of AWS accounts, regions, and resources through a small fixed set of MCP tools backed by a YAML catalog of views.

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your AWS environment. This allows for natural language querying and management of your AWS resources during conversations. Think of better Amazon Q alternative.

Runs on Cloudflare Workers to let MCP clients execute AWS API commands with your own credentials via SigV4-signed HTTPS requests. Supports common S3, EC2, IAM, Lambda, and STS operations plus a generic escape-hatch for any AWS API call.

Enables interaction with AWS services (EC2, S3, Lambda, DynamoDB, etc.) through the Model Context Protocol, allowing natural language management of cloud resources.

A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.

MCP Server for Git operations, agent templates, and project utilities.

Enables management and provisioning of AWS resources like EC2, S3, and RDS using natural language prompts through the Model Context Protocol. It allows users to automate complex infrastructure tasks, such as setting up VPCs and security groups, via a chat interface.

A unified MCP server for AWS that enables natural language infrastructure management, cross-service resource discovery, and dependency mapping. It features 30 intelligent tools for cost optimization, incident investigation, and multi-account operations protected by a robust safety system.

Enables read-only AWS FinOps scans for hidden costs such as NAT Gateway endpoint traffic, infinite log retention, gp2/orphaned EBS volumes, idle Elastic IPs, and stale snapshots, with USD/month estimates and Terraform or CloudFormation remediation patch generation.

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

Enables AI assistants to interact with AWS services and resources through AWS CLI commands, allowing management of AWS infrastructure with security controls.

Enables running a stateless Streamable HTTP MCP server on AWS Lambda behind API Gateway with JWT bearer authentication, per-scope tool allowlists, OAuth protected-resource metadata, and a CDK construct for deployment.

A read-only MCP server for safe, structured investigation of AWS serverless resources, providing curated tools for tracing dependencies, permissions, and failures without exposing raw SDK access.

Enables ChatGPT to generate Amazon product listing images by returning fixed art-direction rules for Slot1-6 or a six-panel tile, using attached product images and provided product information.

Enables users to generate professional AWS architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python code through the diagrams package. Supports customizable styling and secure diagram generation for cloud infrastructure visualization.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server that lets AI editors execute JavaScript, read console output, and simulate clicks/input on static web pages. Supports multiple browser pages and can be deployed remotely via HTTP transport.

A production-grade MCP server for the Amazon Selling Partner API that provides a complete registry of 353 operations across 49 API domains, enabling discovery, description, and invocation of SP-API operations with version awareness and safety controls.

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

Enables agents to inspect localhost web applications through Chrome DevTools Protocol by listing Chrome targets, attaching to a page, capturing and querying network, console, navigation, and WebSocket events, and managing ephemeral sessions.

Enables web performance analysis using Google PageSpeed Insights and Chrome UX Report APIs, providing compact metrics and diagnostics without local browser automation.

Enables ChatGPT plugins and other MCP clients to fetch live web pages and documents as Markdown and to call HTTP APIs via self-hosted Cloudflare Workers.

Enables users to select UI elements on localhost pages and send fix requests to MCP-compatible coding agents, which retrieve the captures and edit the code, with masking of sensitive values.

Bridges MCP clients to AWS SigV4-gated MCP endpoints, signing requests with AWS credentials via stdio or a local HTTP listener. Enables standard MCP clients to securely access Bedrock AgentCore runtimes and IAM-authenticated endpoints without handling SigV4 themselves.

An MCP server allowing AI assistants like Claude to execute read-only SQL queries against AWS PostgreSQL databases, enabling data retrieval while preventing database modifications.

Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.

Enables coding agents to publish HTML artifacts that users can review and comment on in a sandboxed browser viewer, with feedback loop support for iterative versions.

MCP server providing browser compatibility data for the entire Web Platform.