"AWS Agent for Interacting with Multiple AWS Services" matching MCP servers:

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

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.

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.

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

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.

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.

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.

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

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.

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

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 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 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.

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.

Enables AI assistants to query AWS cost and usage data, audit for cloud waste such as idle resources, and monitor budgets using natural language while keeping AWS credentials on the local machine.

Enables users to query AWS cost and usage data, audit for wasted resources like stopped EC2 instances and unattached EBS volumes, and monitor budgets across multiple accounts and regions using natural language. Runs locally against existing AWS CLI profiles so credentials never leave the machine.

Enables querying AWS cost and usage data, monitoring budgets, and auditing for waste such as stopped EC2 instances, unattached EBS volumes, and unassociated Elastic IPs through natural language across multiple AWS profiles and regions. Runs locally using existing AWS CLI credentials to keep them secure.