"AWS" matching MCP servers:

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.

MCP server for AWS SSO authentication and profile management, enabling AI assistants to check identity, switch profiles, and manage EC2/EKS resources.

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.

This MCP server provides tools for inspecting AWS cloud infrastructure, including listing S3 buckets, EC2 instances, and fetching CloudWatch logs using your local AWS credentials.

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.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.

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.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

A Model Context Protocol server implementation that enables Claude to perform AWS operations on S3 and DynamoDB services through natural language commands.

Lets AI chat clients query and manage multiple AWS accounts and organizations through IAM Identity Center SSO, fanning one request across accounts using rule-selected IAM roles and returning merged, redacted results.

Enables Claude Desktop to interact with 57 AWS services using over 200 tools and local machine profiles. It supports multi-profile configurations and features a read-only safe mode by default to manage infrastructure like EC2, S3, and Lambda securely.

Enables an AI agent to browse DynamoDB tables and S3 buckets and objects without being able to modify anything, thanks to SDK-layer write blocking, capped and pageable results, optional table/bucket scoping, secret redaction, and a fail-closed audit log.

An MCP server for automated AWS security scanning. It detects over-privileged IAM roles and S3 Public Access Block misconfigurations, enabling least-privilege enforcement through tools like list_iam_roles, analyze_iam_policy, and analyze_s3_security.

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 LLM clients to query AWS CloudWatch Logs and Alarms through MCP tools.

A read-only MCP server that lets an AI assistant inspect a single AWS lab instance's EC2 health, recent system/nginx errors from CloudWatch, and nginx service status via SSM, with strict allowlisting and no generic shell access.

Enables running Jupyter notebooks on temporary AWS compute (EC2 + SSM) with cost estimation, dry-run planning, progress reporting, and automatic cleanup.

Enables creating and managing AWS EKS clusters via Terraform, including VPC, node groups, add-ons, and kubectl configuration.

Enables natural language analysis of AWS cloud costs, waste audits, and budget insights across multiple profiles and regions.

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.

Enables building AWS cost estimates from natural language requests and generating formatted Excel reports with real pricing, INR conversion, and best practices.

Enables natural language analysis of AWS costs, automated FinOps waste audits, and budget monitoring across multiple profiles and regions while keeping credentials secure locally.

Enables users to analyze AWS cloud costs, audit for waste such as unused resources, and monitor budgets using natural language, while keeping AWS credentials on their local machine.

Enables AI assistants to analyze AWS cloud costs, audit for waste, and monitor budgets using natural language across multiple profiles and regions, while keeping credentials on the local machine.

Enables AI assistants to query AWS cost and usage data by tags, time ranges, and service groupings, audit accounts for wasted resources like stopped EC2 instances and unattached EBS volumes, and monitor budget status across multiple CLI profiles and regions using natural language. All credentials stay on the local machine, with read-only access to AWS APIs.

Enables AI assistants to analyze AWS cloud costs, audit for waste such as stopped EC2 instances and unattached EBS volumes, monitor budgets, and query multi-profile and multi-region cost data using natural language. It runs locally and uses existing AWS CLI profiles so credentials remain on the user's machine.

Enables users to analyze cloud costs, audit for waste, and get budget insights using natural language. It provides read-only access to AWS financial and resource data while keeping credentials on the local machine.

Enables AI assistants to analyze AWS cloud costs, audit for waste, monitor budgets, and generate FinOps insights using natural language while keeping credentials local.

This MCP server enables users to analyze AWS cloud costs, audit for wasted resources, and monitor budgets across multiple profiles and regions. It provides secure, local access to AWS financial data using natural language, with credentials never leaving the machine.